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Paper Citation Record · LEDGER

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

As of 22 July 2026, this Paper Citation Record lists 46 of 46 outbound references and 65 inbound Pith citation observations for arXiv:1909.11942.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1909.11942 v6

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 111 of 111 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-21T06:31:05.380196+00:00

measured 65 of 65 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T19:58:05.484186Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T06:15:00.866473Z

Reference resolution

46 of 46 outbound references displayed

  • verified exact17
  • verified fuzzy15
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch14

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2846432e-76eb-47a8-845e-cdb4cf856dfe · outbound

This paper cites Adaptive Input Representations for Neural Language Modeling.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Adaptive Input Representations for Neural Language Modeling

Reference 1

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verified exact
arxiv_id, observed 2026-05-13T12:26:58.132357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:0df6a64d548b5f503bd8cbe15ca09b19060b2d0d8ba4d116fe9a261cf7265759

Observation 80d91f50-ef8c-4e25-bcbc-933ca398fc26 · outbound

This paper cites SemEval-2017 task 1: Semantic textual similarity multilingual and crosslingual focused evaluation.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations SemEval-2017 task 1: Semantic textual similarity multilingual and crosslingual focused evaluation

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T12:26:58.149141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:82521d5faea2b8559ffad52fd4865590f285a536fb694bf6b0ce5cb5e969ba24

Observation c5b1f213-39f8-492a-8c48-6f001fc616bf · outbound

This paper cites Training Deep Nets with Sublinear Memory Cost.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Training Deep Nets with Sublinear Memory Cost

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T12:26:58.058134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:130bc41234615c82642d4e6ea5503d72794ed09e1d56c6c6ee3796ab045bc125

Observation eb11c3ec-3ea9-49f9-b837-6703c3ce4e70 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Generating Long Sequences with Sparse Transformers

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-13T12:26:58.087696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:40d393520dde064cfb1335cba9712e63694ca868195f8071be48957fc84e69df

Observation 5378f9bd-b2d2-4cf4-964e-3cd06d974947 · outbound

This paper cites BAM! Born-Again Multi-Task Networks for Natural Language Understanding.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations BAM! Born-Again Multi-Task Networks for Natural Language Understanding

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-13T12:26:58.091119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:58199a26f4e833534eb0e01b7f8beac5c567091a89a106e2d331fb456ff85d28

Observation e7accb3d-3e92-4a23-9276-b6e43547d0c1 · outbound

This paper cites Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-13T12:26:58.094017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:be991d3cef1d33ef8380a0ee870f36b278dccf5d471c6665216f12970b6b29be

Observation bac4346d-144e-4da9-90d9-aee9049d18c9 · outbound

This paper cites Universal Transformers.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Universal Transformers

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-13T12:26:58.096951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:9d20147e2568a9ad10f001fdebe4d4804eabb2f0661c11806e6f8dfe06b4647c

Observation 60b83144-7e5d-40b4-abbc-258ca1245e1e · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations BERT: Pre-training of deep bidirectional transformers for language understanding

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T12:26:58.142849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:12d7b97baefdec8f57030435b32b349e88cacdb95335b3987a8802e1e30092da

Observation 3bc352f4-bd3e-4617-8466-be4790e7b9a4 · outbound

This paper cites BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

Resolution
metadata mismatch
doi, observed 2026-05-13T12:26:58.063828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:5c14cccd53cdc53990cef02b82b5f7b774c6edabc37daa230c7c1205f797a08d

Observation f400c0ff-6a82-4881-8637-feb88c10273d · outbound

This paper cites Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, and Lawrence Carin.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, and Lawrence Carin

Reference 10

Resolution
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raw_fallback, observed 2026-05-13T12:26:58.162084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:a69b80c6e9ab99ecdbf57ce29d7fbf22ae0034577018df771cacbd935416a1ce

Observation 5573041e-c1a7-4aff-9d22-eb2de78ac287 · outbound

This paper cites doi: 10.18653/v1/D17-1254.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations doi: 10.18653/v1/D17-1254

Reference 11

Resolution
verified exact
doi, observed 2026-05-13T12:26:58.075185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:4d12cb250afc8d23258d5c771fc6d85704b4579afa200b8f278219364ee521e0

Observation 0b20a585-a65d-489c-8828-36a4078a5906 · outbound

This paper cites an unresolved cited work.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Unresolved cited work

Reference 12

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raw_fallback, observed 2026-05-13T12:26:58.159306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:e646ab0a8a4a1ea6cf068d14d70d156bf8f20d5397af037e0fa41dad15ff1414

Observation d18e1156-dd6e-4045-af02-1c501a9a9ccf · outbound

This paper cites Modeling recurrence for transformer.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Modeling recurrence for transformer

Reference 13

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raw_fallback, observed 2026-05-13T12:26:58.153057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:336c4f7cb849d59875e43fca1b1e3c14a0bf252edf686a75875067d4535dadae

Observation b6b8f450-d7fb-406d-a3f8-3e5955e89b8e · outbound

This paper cites Gaussian Error Linear Units (GELUs).

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Gaussian Error Linear Units (GELUs)

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T12:26:58.082116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:07f3035c036b10e87414a327dcbdb1aa857413c08665007fb1525ab1818ec6da

Observation 46c28f21-48d0-46c5-bd8f-dc0203fafabe · outbound

This paper cites Learning distributed representations of sentences from unlabelled data.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Learning distributed representations of sentences from unlabelled data

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T12:26:58.151195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:31fe741071540d5c9b5d25411a8e690d5202fae1f835fc17529a3e930f517415

Observation 5cc08e6c-5f7e-42b8-8ffc-fcc1e5deb2b2 · outbound

This paper cites Learning Distributed Representations of Sentences from Unlabelled Data.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Learning Distributed Representations of Sentences from Unlabelled Data

Reference 16

Resolution
metadata mismatch
doi, observed 2026-05-13T12:26:58.044456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:7b7cd1d52b411b8d611426a9345f492fd0659b4a64af4e17028839300ad813ff

Observation d25bf620-c39b-4c59-a704-e0ddf37ed746 · outbound

This paper cites Universal Language Model Fine-tuning for Text Classification.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Universal Language Model Fine-tuning for Text Classification

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-13T12:26:58.100035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:28016c00c3de65acce732cc56564ca4129968485158db7597ff3ca824bdda2ea

Observation e12a2347-d35a-4c2f-bff3-a11d7c165bdc · outbound

This paper cites Discourse-Based Objectives for Fast Unsupervised Sentence Representation Learning.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Discourse-Based Objectives for Fast Unsupervised Sentence Representation Learning

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T12:26:58.103117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:093ed7595df1eaf3d922b8349b2c7585320cab61ee8b5032766e9adc4c319ba7

Observation 7b8c01b3-3773-4ba2-a8b8-bda919905e0f · outbound

This paper cites SpanBERT: Improving Pre-training by Representing and Predicting Spans.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations SpanBERT: Improving Pre-training by Representing and Predicting Spans

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-13T12:26:58.106271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:da736d662743acede4c1f6fe7056cb22f04f958fba1aac5148a1870f0bd3ec14

Observation a1d1eb7d-d3af-4278-84c0-2cf9a08503c1 · outbound

This paper cites URL http://dl.acm.org/citation.cfm?id= 2969442.2969607.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations URL http://dl.acm.org/citation.cfm?id= 2969442.2969607

Reference 20

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arxiv_id, observed 2026-05-13T12:26:58.109164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:1c63364e7775385366fd38e11bc0e897848012e895e1647e1c2f2695a7d10a16

Observation 1f01520c-34d6-4b2b-9e63-9ec218db7afd · outbound

This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Reference 21

Resolution
metadata mismatch
doi, observed 2026-05-13T12:26:58.066166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:b89c8d73d704b784c4d610bc1cbdf9e1b87d2c5a0a183de1cfa8fa8b3763dc76

Observation 30b331f6-48f2-43ee-9139-770b26d0140b · outbound

This paper cites doi: 10.18653/v1/D17-1082.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations doi: 10.18653/v1/D17-1082

Reference 22

Resolution
verified exact
doi, observed 2026-05-13T12:26:58.068913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:c7abb877326e3ea331b27505f746bf9cb4067cce1bc214bdf9ba0f5c09672e4e

Observation bce180f1-1614-4035-8dc6-6d1a86c910b6 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 23

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verified exact
local_arxiv, observed 2026-05-13T12:26:58.111796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:7549180d2ea7076037aa0c6c37c0ad3cae6dae478f285221f22dad983f0281ab

Observation c0594520-95f7-4f37-9d9b-6be9fd12deda · outbound

This paper cites doi: 10.18653/v1/P19-1442.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations doi: 10.18653/v1/P19-1442

Reference 24

Resolution
verified exact
doi, observed 2026-05-13T12:26:58.073386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:edba0e6bab0593b8b94434004583fa3bdd1ed1f2fb02dc94241813d6e1524f4b

Observation 9258dcf0-5460-4293-b0fe-15e6f5d1a2a5 · outbound

This paper cites Pennington, R.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Pennington, R

Reference 25

Resolution
metadata mismatch
doi, observed 2026-05-13T12:26:58.040563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:7cbe6dae98343b7613ab8319c00a3475637e56d33f16bdd7c8377b392e808d05

Observation 210b3f8f-f27b-417a-8c5d-bc4b38bda0c0 · outbound

This paper cites and Neumann, Mark and Iyyer, Mohit and Gardner, Matt and Clark, Christopher and Lee, Kenton and Zettlemoyer, Luke.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations and Neumann, Mark and Iyyer, Mohit and Gardner, Matt and Clark, Christopher and Lee, Kenton and Zettlemoyer, Luke

Reference 26

Resolution
metadata mismatch
doi, observed 2026-05-13T12:26:58.079492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:e215805c07d53d495b653f643fb86bb160f6e36735e435e8c4e4c6c5ca0c4beb

Observation 80cfaf98-4c99-4610-8aa6-4cec11c53c3c · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-05-13T12:26:58.114416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:730d8c9e02883ba28efd1004335234729a0d7f55a6f7a5f915b6183a9a3d2a90

Observation 5fd26503-17a8-43c8-803e-a5bd5f886252 · outbound

This paper cites SQuAD: 100,000+ questions for machine comprehension of text.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations SQuAD: 100,000+ questions for machine comprehension of text

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T12:26:58.157456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:c5203db4943ff37e575311c5fb6e4bf7cf51b2f383722513932b3227939d49b1

Observation 07a5e651-4502-4527-93de-54cec2c1c6ec · outbound

This paper cites SQ u AD : 100,000+ questions for machine comprehension of text.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations SQ u AD : 100,000+ questions for machine comprehension of text

Reference 29

Resolution
metadata mismatch
doi, observed 2026-05-13T12:26:58.077179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:8d482230ddd4e3609e15584f6398dce9623d63e36bcfd216002e505e16ee0bad

Observation 2080e1a9-bfde-4d57-8ad5-4851ad5ca384 · outbound

This paper cites In: Gurevych, I., Miyao, Y.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations In: Gurevych, I., Miyao, Y

Reference 30

Resolution
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doi, observed 2026-05-13T12:26:58.070938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:2e5014bd221775da4c521c2cc19c1521d157f40afc2e5325e35c385d44f4fa55

Observation b211c2e1-5f7c-404a-99ca-ae72d7b1f399 · outbound

This paper cites Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling

Reference 31

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arxiv_id, observed 2026-07-04T22:40:08.461553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:cbfc05513b4aa8b51033c1adb073b75fe81ed268670772a7405afffaadd9245a

Observation e47206dd-127b-4a92-90fb-ea363092fc87 · outbound

This paper cites Manning, Andrew Ng, and Christopher Potts.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Manning, Andrew Ng, and Christopher Potts

Reference 32

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verified fuzzy
raw_fallback, observed 2026-05-13T12:26:58.134616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:fbaff94bdb0f5ad2671eb3975fc6d945cedd192d71d7d9c990a68c09108046e8

Observation b50a58fd-6a2e-4d9d-b589-059f7575d5b6 · outbound

This paper cites Patient Knowledge Distillation for BERT Model Compression.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Patient Knowledge Distillation for BERT Model Compression

Reference 33

Resolution
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arxiv_id, observed 2026-05-13T12:26:58.120212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:19f39a1a38dc98da3525067af633b42517505388899f9eaf157146d6bcc8c1be

Observation df108f19-e6b9-407a-9853-abd23d00e31d · outbound

This paper cites Well-Read Students Learn Better: On the Importance of Pre-training Compact Models.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Well-Read Students Learn Better: On the Importance of Pre-training Compact Models

Reference 34

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arxiv_id, observed 2026-05-13T12:26:58.123489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 1637cc64-f285-4a00-9e37-ca6d4f3c6731 · outbound

This paper cites GLUE: A multi-task benchmark and analysis platform for natural language understanding.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations GLUE: A multi-task benchmark and analysis platform for natural language understanding

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:ded54a74b219a180b0364db401aaff8e74b1ec08a1876527d61b16bb0d91aab3

Observation a1bbdbf3-79ae-41b6-8572-dbc1a6270184 · outbound

This paper cites Proceedings of the 2018.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Proceedings of the 2018

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation e3e36867-c1b9-46a2-8274-49604f21458a · outbound

This paper cites Neural Network Acceptability Judgments.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Neural Network Acceptability Judgments

Reference 37

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arxiv_id, observed 2026-05-13T12:26:58.126204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:ec5095a84ef6573fdce4a0de85b8b1afdebd48e93d4e925a1de27987e726021e

Observation 9efdea7b-bc1f-487b-89b6-f9fcfcc8fda4 · outbound

This paper cites A broad-coverage challenge corpus for sen- tence understanding through inference.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations A broad-coverage challenge corpus for sen- tence understanding through inference

Reference 38

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raw_fallback, observed 2026-05-13T12:26:58.147092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:33317d5511bffda24a5fbe84766c5c22aff1da9d7d888bd57ced6d9e0c5186f4

Observation 514921cb-81e1-434c-b27e-9583c1319b41 · outbound

This paper cites A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Reference 39

Resolution
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doi, observed 2026-05-13T12:26:58.048845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation ad8e6848-54e4-4a7c-a963-187f4beef389 · outbound

This paper cites Large Batch Optimization for Deep Learning: Training BERT in 76 minutes.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Large Batch Optimization for Deep Learning: Training BERT in 76 minutes

Reference 40

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arxiv_id, observed 2026-05-21T21:39:00.104164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:79ef00d0c0cb53fb40974754fcbe369ccc54f71080f41801db3e42f4275e47f7

Observation 7e4e67ab-6190-4789-827c-35808a87b747 · outbound

This paper cites DCMN+: Dual Co-Matching Network for Multi-choice Reading Comprehension.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations DCMN+: Dual Co-Matching Network for Multi-choice Reading Comprehension

Reference 41

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arxiv_id, observed 2026-05-13T12:26:58.084998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:be3a9c9e9f6200f56a3bfb645f9af3e3b10abacdffcddc3d1f65802d5c17f574

Observation f00aad56-1d64-4ea3-a027-3581ccbbba0b · outbound

This paper cites an unresolved cited work.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Unresolved cited work

Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:89dc0834d482737eef890659d1afd39726c6fb267623037d67f7f95fd171c5d5

Observation 6c17a5da-4842-45c6-94d1-d4b3612acbe1 · outbound

This paper cites We conclude that, when sharing all cross-layer parameters (ALBERT-style), there is no need for models deeper than a 12-layer configuration.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations We conclude that, when sharing all cross-layer parameters (ALBERT-style), there is no need for models deeper than a 12-layer configuration

Reference 43

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verified fuzzy
raw_fallback, observed 2026-05-13T12:26:58.138814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:5b8452fdb07fcf85e94798cf580b5bb29873e9d21da030d5a73e539c83c22ff8

Observation 3033668d-1465-4ed9-9a09-76130e119fe8 · outbound

This paper cites It focuses on evaluating model capabilities for natural language understanding.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations It focuses on evaluating model capabilities for natural language understanding

Reference 44

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verified fuzzy
raw_fallback, observed 2026-05-13T12:26:58.144988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:de159343025095179ceb639a14f52e83c5d3238914cf599b290ec3887bf95f6e

Observation de762cd1-7f5f-45ed-a798-772b86d0e962 · outbound

This paper cites For test set submissions, we perform task-specific modifications for WNLI and QNLI as described by Liu et al.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations For test set submissions, we perform task-specific modifications for WNLI and QNLI as described by Liu et al

Reference 45

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raw_fallback, observed 2026-05-13T12:26:58.155438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:4e173963ab3b09336dc84bebbcc0025435755f87baa10a85fc367227a50770d1

Observation 9651ef17-4623-48d7-836c-056055e683a6 · outbound

This paper cites (2019), Devlin et al.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations (2019), Devlin et al

Reference 46

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:1ba558b3e81447000d9cf55e280c9e6a633f4c8c1f342e2e8d4a1adcac8e7181

Pith citing papers

Observation 348f1962-2f41-446e-92d7-0ff9483a756e · inbound

XLNet: Generalized Autoregressive Pretraining for Language Understanding cites this paper.

XLNet: Generalized Autoregressive Pretraining for Language Understanding ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:29:27.427361Z digest=sha256:a460d937f7566843d3dd68c5c1aaf8b87254f6ddd896a8974acffb23be33010e

Observation e1a008e8-a390-4f8b-a586-78eec5e7c04f · inbound

Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism cites this paper.

Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 16

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arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-10T18:34:44.807534Z digest=sha256:e7a34d846f973ea778977c50634bfad127117445fd2ae1de36de51729330d7c1

Observation 79d32172-39ef-41d7-9338-83b4420f3841 · inbound

HuggingFace's Transformers: State-of-the-art Natural Language Processing cites this paper.

HuggingFace's Transformers: State-of-the-art Natural Language Processing ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 165

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arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-11T14:53:58.963468Z digest=sha256:22e8a23735d39f8eb7d0f5f2b73913677ef050fb5810d4b8709fcbe71e388fe8

Observation fe772a33-0bff-4a56-ac37-57e2a2200c90 · inbound

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer cites this paper.

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 43

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arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-12T05:37:55.083206Z digest=sha256:e381fbbb42c95211b7395e0ac0c9fbd6f90b01710ed1aba088f070a86e188d07

Observation 43abd102-fdbc-4303-9c9a-baf1645b609c · inbound

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension cites this paper.

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 11

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arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T00:14:58.134513Z digest=sha256:2ff23875bd3723d01e543b3270f2252666db1bef30ea9ee648e2995ee29d8b97

Observation c313e21d-6253-4baa-b47a-6e562b1ad14b · inbound

How Much Knowledge Can You Pack Into the Parameters of a Language Model? cites this paper.

How Much Knowledge Can You Pack Into the Parameters of a Language Model? ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 55

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local_arxiv, observed 2026-05-15T02:00:28.126284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-15T02:00:28.055865Z digest=sha256:f2661322ed1be0d35603e114d14162cb366e2b15efdc25e72ddf3b25021326b1

Observation cd6df6d1-5564-4a5d-8212-5c165be9f5bb · inbound

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators cites this paper.

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 5

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local_arxiv, observed 2026-05-16T10:26:47.627568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-16T10:26:47.593122Z digest=sha256:b6328e8bc6963d0fd8151a9921a1f9488d90bb7689da724764d83b5001fd6fa5

Observation 0a33c019-557e-4e52-8c37-63ec5e5dae45 · inbound

Language Models are Few-Shot Learners cites this paper.

Language Models are Few-Shot Learners ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 33

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arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-10T12:05:38.045330Z digest=sha256:c4d5b7a9facb6223642c7f218e0882462e4a02d322131aa666bf10de5eb91003

Observation 7461f0ec-f048-4eda-aa73-2b8edd0f55ff · inbound

Aligning AI With Shared Human Values cites this paper.

Aligning AI With Shared Human Values ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 19

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local_arxiv, observed 2026-05-21T14:41:26.574987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-21T14:41:26.484482Z digest=sha256:4b599559c52630ef3789d3f176285d3952c4b89cc62fcf3b5a6e96708f1ae269

Observation 2c4f527f-93f9-4577-a0d3-c7fabf69b817 · inbound

Measuring Massive Multitask Language Understanding cites this paper.

Measuring Massive Multitask Language Understanding ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 19

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arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-10T12:43:44.359247Z digest=sha256:01c8a5be481b4c118df03a5694ba632c647f8c4eeb49191309cface88ae30b77

Observation d57ef7d3-4d6f-46e1-b97e-02d77a6bbc21 · inbound

Scaling Laws for Transfer cites this paper.

Scaling Laws for Transfer ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 51

Resolution
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local_arxiv, observed 2026-05-18T00:58:13.665122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-18T00:58:13.116663Z digest=sha256:58d3c79f0315f9ecb0464fc2978f897662cb7b52875838596166ef26b393198c

Observation bb695082-9b61-4fc2-9d91-e1cd3d5fd78d · inbound

A General Language Assistant as a Laboratory for Alignment cites this paper.

A General Language Assistant as a Laboratory for Alignment ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 80

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-11T14:22:57.925354Z digest=sha256:7667c8d88eb430b1d0ac413a327dc7a76e5debffb52fc044651eef92874c7762

Observation cdb8a1f6-b239-49d1-a065-c86102c7db02 · inbound

Unsupervised Dense Information Retrieval with Contrastive Learning cites this paper.

Unsupervised Dense Information Retrieval with Contrastive Learning ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 150

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arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-12T13:21:16.921001Z digest=sha256:539d2583257f52e95a140a886a5419730817870a7a64996bc032ee7d23378269

Observation bc762b44-7106-4a0c-b898-4de815c5834e · inbound

Language Models (Mostly) Know What They Know cites this paper.

Language Models (Mostly) Know What They Know ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 138

Resolution
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arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-10T15:42:47.274448Z digest=sha256:d8c39b95ee26b5ae33b39cd919a628b575d81483ad0b0d4bc1f9b7ecef2a3be1

Observation 28d8cefa-2b5e-4b2c-b19d-163c7e3f53a1 · inbound

Atlas: Few-shot Learning with Retrieval Augmented Language Models cites this paper.

Atlas: Few-shot Learning with Retrieval Augmented Language Models ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 111

Resolution
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local_arxiv, observed 2026-05-16T13:48:43.320356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T13:48:43.024120Z digest=sha256:bff19b7f67130f4a6ab820ce5dcd228d318bb4701d8494d905619e02a21ca253

Observation 390cdd92-1934-404c-9b32-df2a8f459c85 · inbound

A Survey of Hallucination in Large Foundation Models cites this paper.

A Survey of Hallucination in Large Foundation Models ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 108

Resolution
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local_arxiv, observed 2026-05-16T15:21:00.849987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T15:21:00.778049Z digest=sha256:8018ffc6c8c70d866d968d4105314536944be54b33656622ea8326c2c652b70c

Observation 315d09d6-7960-4d66-a59f-36a4830f35f9 · inbound

DA-Cramming: Enhancing Cost-Effective Language Model Pretraining with Dependency Agreement Integration cites this paper.

DA-Cramming: Enhancing Cost-Effective Language Model Pretraining with Dependency Agreement Integration ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 17

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verified exact
local_arxiv, observed 2026-05-24T05:33:56.730707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-24T05:31:30.519530Z digest=sha256:166113f6fe7c098f589f9749a91dc3bb960e236b9df8ff8b2b69df0c5cae804b

Observation 5893cdea-30fd-4245-bb92-3e171a9690e5 · inbound

Large Language Models: A Survey cites this paper.

Large Language Models: A Survey ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 45

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arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-11T15:22:54.023279Z digest=sha256:02758f18c1f567713fd426673bc902f52128b8dab125fb1346030b8ef48294f5

Observation e8a4fcd5-2afa-48b1-91c1-ca995fb0db62 · inbound

MegaFake: A Theory-Driven Dataset of Fake News Generated by Large Language Models cites this paper.

MegaFake: A Theory-Driven Dataset of Fake News Generated by Large Language Models ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 3

Resolution
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local_arxiv, observed 2026-05-23T21:33:28.543628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-23T21:31:27.597981Z digest=sha256:cf29eeeeb7768d75d8a53fab6828a91f162b99f0b4bfb4c87168c4af39d5a3b1

Observation 3c3345c9-be49-4f1a-ba30-efcf643eb282 · inbound

Optimal Query Allocation in Extractive QA with LLMs: A Learning-to-Defer Framework with Theoretical Guarantees cites this paper.

Optimal Query Allocation in Extractive QA with LLMs: A Learning-to-Defer Framework with Theoretical Guarantees ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:53:21.384938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-23T18:49:39.718108Z digest=sha256:d094180c690b140de97dcf7c0d759b3432481bbdbbfd1f850fe01766c4b4b297

Observation b8446253-35cc-41f2-8c82-e32fe812070f · inbound

Large Language Model-Brained GUI Agents: A Survey cites this paper.

Large Language Model-Brained GUI Agents: A Survey ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 85

Resolution
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local_arxiv, observed 2026-05-19T11:08:27.629084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-19T11:08:27.472508Z digest=sha256:801da0e358b3925ba94ab6ee5a67ffce06c8329c7771663986b26fa989379fcc

Observation 3d03bda9-24de-42a2-9084-49fe10225c64 · inbound

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach cites this paper.

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 87

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arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-12T15:39:40.845703Z digest=sha256:139efbb9c0c972b181a2143aa7167d5183c802fd724813d76678986a57a9c4fd

Observation a7afe8d8-bded-4296-af6c-f402c080a3ff · inbound

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices cites this paper.

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 61

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verified exact
local_arxiv, observed 2026-05-23T01:05:16.551221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-23T01:03:26.037233Z digest=sha256:46a5b499ee2a63c2070d1e237afbec9744709e062c04f532ad03b7de285f06b0

Observation a07483af-13f6-4cab-bc01-0e33da3959e1 · inbound

Social Human Robot Embodied Conversation (SHREC) Dataset: Benchmarking Foundational Models' Social Reasoning cites this paper.

Social Human Robot Embodied Conversation (SHREC) Dataset: Benchmarking Foundational Models' Social Reasoning ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-05-22T21:15:09.437230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-22T21:14:13.351140Z digest=sha256:96491fd2cd18773e2e9426185ca380872298f7cdd068e53e92065b6a8a89940d

Observation 5c652df5-fc40-43d2-b339-ed05704ea8ec · inbound

Model Compression vs. Adversarial Robustness: An Empirical Study on Language Models for Code cites this paper.

Model Compression vs. Adversarial Robustness: An Empirical Study on Language Models for Code ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 49

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T00:01:55.794337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-19T00:01:42.228190Z digest=sha256:36735de6d96ea6808b000a0c77607df83de95468f88eadc2c22e9bfb90ebcd16

Observation dfab75da-e01f-4ddd-9d97-62252bb2b2ac · inbound

RedNote-Vibe: A Dataset for Capturing Temporal Dynamics of AI-Generated Text in Lifestyle Social Media cites this paper.

RedNote-Vibe: A Dataset for Capturing Temporal Dynamics of AI-Generated Text in Lifestyle Social Media ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-18T13:51:26.114119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T13:46:48.348859Z digest=sha256:f2f8be461ed6ffe40a669765bb31411afe970f0496144b60ee0d3e8964b0f1af

Observation ccba7afb-e5bb-45cb-9809-489565fc3efd · inbound

Scaling Latent Reasoning via Looped Language Models cites this paper.

Scaling Latent Reasoning via Looped Language Models ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 23

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verified exact
local_arxiv, observed 2026-05-15T07:43:11.697979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-15T07:43:11.620446Z digest=sha256:ad4b038b79b9a7cefbf825853fd5f6f2baf0e7386e0bdae0ea214df6f5d47897

Observation 844771d1-ec0e-4f43-b67e-14bf10a24070 · inbound

LA-Sign: Looped Transformers with Geometry-aware Alignment for Skeleton-based Sign Language Recognition cites this paper.

LA-Sign: Looped Transformers with Geometry-aware Alignment for Skeleton-based Sign Language Recognition ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 33

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T21:09:28.585075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-14T21:09:08.571994Z digest=sha256:b93a3262a66f21cdc5b89a1a63f4566ab016d6fe13b065ee8ab8da83938607ff

Observation ee03a2f9-c2e3-4b51-900e-b5da11e958c9 · inbound

SecureRouter: Encrypted Routing for Efficient Secure Inference cites this paper.

SecureRouter: Encrypted Routing for Efficient Secure Inference ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-10T10:30:11.745479Z digest=sha256:f60bc6bacf8a9b8caff11690865fb2266ff370462045f4c39187cb2fa492d4ff

Observation 5afc2b8f-dd0c-4878-8399-7ddd8c80c522 · inbound

GuardPhish: Securing Open-Source LLMs from Phishing Abuse cites this paper.

GuardPhish: Securing Open-Source LLMs from Phishing Abuse ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-10T06:25:13.699171Z digest=sha256:b36018d577cd4f5f6dd2dc90cae762e4ca1698d11f9b4e9b861ddc0e6742fea8

Observation 8496bbea-a89b-42cd-aff0-b8f5ba32e62f · inbound

Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors cites this paper.

Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 207

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-10T03:50:44.626261Z digest=sha256:1c8ac68b864a6777ad9d99fe984fe6815b8c6f745d818e302341353b18225b14

Observation 451affbb-fa82-42ba-8b79-beb6ab40eebf · inbound

Hyperloop Transformers cites this paper.

Hyperloop Transformers ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-09T23:09:35.640412Z digest=sha256:76363bd515c645ab0d79cd16b14643f0fbca4f13b466adab549313b6da0cb08c

Observation d53288ac-5709-4b1d-ac6c-a2b6dd50dd96 · inbound

Network Edge Inference for Large Language Models: Principles, Techniques, and Opportunities cites this paper.

Network Edge Inference for Large Language Models: Principles, Techniques, and Opportunities ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T09:45:57.201837Z digest=sha256:41c1d9dbaf0ce2038d1d41afdc8d658f6356caa9c6aa9f5feadabf783dca5dc7

Observation 7ab6801d-2cde-45ce-bc44-6131fce81e64 · inbound

ADE: Adaptive Dictionary Embeddings -- Scaling Multi-Anchor Representations to Large Language Models cites this paper.

ADE: Adaptive Dictionary Embeddings -- Scaling Multi-Anchor Representations to Large Language Models ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T03:42:38.627716Z digest=sha256:420d43769678b1cbd2c70a2754f8836309518ce3109168bbb92a414097a8357a

Observation 0106785d-b97d-45b8-bb56-37942e0df2b8 · inbound

Fight Poison with Poison: Enhancing Robustness in Few-shot Machine-Generated Text Detection with Adversarial Training cites this paper.

Fight Poison with Poison: Enhancing Robustness in Few-shot Machine-Generated Text Detection with Adversarial Training ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T17:49:39.514484Z digest=sha256:300f0d6882527add8c101787a1b166cfd12cd49ba322f6687d9205689b71850f

Observation 99179e0f-d6cc-47c2-ba7b-958fd3ffc20b · inbound

Natural Language Processing: A Comprehensive Practical Guide from Tokenisation to RLHF cites this paper.

Natural Language Processing: A Comprehensive Practical Guide from Tokenisation to RLHF ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-07T16:29:57.984030Z digest=sha256:d1f2bb438b2b63a6b247a553250e625d821975cdfe7d619d4bacfd9cdec7d076

Observation 8c1c1728-bb8a-4254-a769-882c12488a47 · inbound

Natural Language Processing: A Comprehensive Practical Guide from Tokenisation to RLHF cites this paper.

Natural Language Processing: A Comprehensive Practical Guide from Tokenisation to RLHF ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-12T01:48:40.194847Z digest=sha256:3e38ae65f350f2d6eb3fcf754c014463166f0c98c81e367a1361e3fcda0911d5

Observation ce6cfcde-8d78-4fbc-a12d-d6465e1bde54 · inbound

Shortcut Solutions Learned by Transformers Impair Continual Compositional Reasoning cites this paper.

Shortcut Solutions Learned by Transformers Impair Continual Compositional Reasoning ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T16:42:08.322419Z digest=sha256:1577c78dfac18f2003cf04b80c31c2fb1a58148e7e746579fd01d9b54b28b069

Observation f4932a72-0da3-4049-8871-40cadcdfa74c · inbound

SMolLM: Small Language Models Learn Small Molecular Grammar cites this paper.

SMolLM: Small Language Models Learn Small Molecular Grammar ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-08T12:57:47.721361Z digest=sha256:1a997408a3406c1d5d1c2764a765dc46a839450ffe9bc5e443868267a374ce28

Observation 7e58169c-88f2-4eb1-a11f-a275a0a0b2a3 · inbound

SMolLM: Small Language Models Learn Small Molecular Grammar cites this paper.

SMolLM: Small Language Models Learn Small Molecular Grammar ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T23:35:06.787310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:deae34ec4d469569495b9a83c5045b7b392ee9835ceaafd73f776f41f730985e

Observation 3fa985c6-8cbb-4770-a3ef-af27da6862e3 · inbound

BoolXLLM: LLM-Assisted Explainability for Boolean Models cites this paper.

BoolXLLM: LLM-Assisted Explainability for Boolean Models ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T12:26:58.164513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-13T05:54:32.665189Z digest=sha256:2acd7f824e759be428b5161a73f9aec5c8728e090c7ec7e31bd18e069e2bd81d

Observation e18ca552-f838-4900-ac99-20a0031063e4 · inbound

No Free Swap: Protocol-Dependent Layer Redundancy in Transformers cites this paper.

No Free Swap: Protocol-Dependent Layer Redundancy in Transformers ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-20T20:33:43.483704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-20T20:29:38.004776Z digest=sha256:908ac88bb60493bb715e6844775a4eab44204fd96ee8098087083729efce2ab7

Observation 66188369-62e9-405e-91ff-9a14b5d6b1a9 · inbound

LoopQ: Quantization for Recursive Transformers cites this paper.

LoopQ: Quantization for Recursive Transformers ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-20T22:43:50.882056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-20T22:41:55.787556Z digest=sha256:ce56c5f67871e95af569d97c45cdc5fb53e6450f2b8b5a89768e5b45f923065f

Observation 5da13bfc-7216-4d17-b787-a671a00a101a · inbound

Semantic Reranking at Inference Time for Hard Examples in Rhetorical Role Labeling cites this paper.

Semantic Reranking at Inference Time for Hard Examples in Rhetorical Role Labeling ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 130

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T11:28:14.284668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-20T11:27:30.720693Z digest=sha256:a3f24ca833e4e7e6f75efb0bc8c5ede0f37a83a04de0a43f35ac18f18748dc35

Observation 7ad9d184-757b-47b8-a03e-ed673aeb08f3 · inbound

Generative Recursive Reasoning cites this paper.

Generative Recursive Reasoning ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-20T06:03:05.419635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-20T05:58:23.543870Z digest=sha256:9522dd200237ac83dbf3ee093724476adefafd3f32ea7e90a9a54147778a8640

Observation 401497c5-9092-4267-bd21-a0bfe723bfbe · inbound

Generative Recursive Reasoning cites this paper.

Generative Recursive Reasoning ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-21T07:44:03.134899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-21T07:40:30.199868Z digest=sha256:9b6db270e82fe56472a9231dfffe3da4af5a932c23cba8a5f1d3211a39e66deb

Observation a2420ab7-ffca-4c6e-96bd-7b68f0cb0878 · inbound

Machine Intelligence that Understands Visual and Linguistic Information and Interacts with Humans and Environments cites this paper.

Machine Intelligence that Understands Visual and Linguistic Information and Interacts with Humans and Environments ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 131

Resolution
verified exact
local_arxiv, observed 2026-06-30T17:44:57.706468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-30T17:40:33.082748Z digest=sha256:fe77c658b4e43560856f056d8634509767f15da93af5997ede3742fe6d4bde7f

Observation 4af2994b-5caf-485c-9281-d60170bf5b9e · inbound

Looped Diffusion Language Models cites this paper.

Looped Diffusion Language Models ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-06-29T23:14:01.148365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-29T23:13:12.343355Z digest=sha256:0b4caeceb3e6422af5999a21927af64ff139cd89f97183f357dc055fd4f8ef91

Observation 481ef6f9-aca8-4774-8940-7cbdfe593769 · inbound

BitTP: The Lightweight Trajectory Prediction Model with BitLLM for Edge-Devices cites this paper.

BitTP: The Lightweight Trajectory Prediction Model with BitLLM for Edge-Devices ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-06-29T08:03:14.565027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-29T07:56:00.180707Z digest=sha256:52ce088bde6897702d73f2fc7fe04f42cb702ce72b73f5aa6c8c0b4aa58617d6

Observation 70793cb5-4e56-420d-b141-3b8bca12ad98 · inbound

Give it Space! Explicit Disentangling of Positional and Semantic Representations in Encoders cites this paper.

Give it Space! Explicit Disentangling of Positional and Semantic Representations in Encoders ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:33:13.053708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-06-29T07:24:41.424801Z digest=sha256:8f5480a1f13903468968c229a883fa5203ada704977406785bb20042aa038b31

Observation 3bf1aa60-f177-4932-b8bb-c0c1c4670806 · inbound

Graph-GRPO: Dependency-Aware Credit Assignment for Generative E-commerce Search Relevance cites this paper.

Graph-GRPO: Dependency-Aware Credit Assignment for Generative E-commerce Search Relevance ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-01T20:16:12.105693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-28T21:21:46.537474Z digest=sha256:117909bb00dddbee6d92559fad3d7ba05231524c1539f766be76aa98e846964f

Observation 1214c1bb-7c94-4ecb-bd33-f50e8f615428 · inbound

When Meaning Travels: A Granular Lens on Hybrid-MoE's Role in Idiomatic Understanding for Language Models cites this paper.

When Meaning Travels: A Granular Lens on Hybrid-MoE's Role in Idiomatic Understanding for Language Models ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 74

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T22:36:16.753493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-06-28T15:19:26.983760Z digest=sha256:1c660c19bccf92179f0ceb178a5c77a3844ca7cd50611819e50507a28ca23add

Observation 5c45aff0-e75c-4d8e-9ea9-df27574e4e89 · inbound

PortBERT: Navigating the Depths of Portuguese Language Models cites this paper.

PortBERT: Navigating the Depths of Portuguese Language Models ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-07-01T23:06:20.163538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-06-28T14:43:28.401687Z digest=sha256:89a788e8f1c26414530f95ebf04c38a55182a3857ea2a747022438e71f5d3a4b

Observation 5886366b-87f8-43b0-8a1e-da79875e9e5a · inbound

Do Transformers Need Three Projections? Systematic Study of QKV Variants cites this paper.

Do Transformers Need Three Projections? Systematic Study of QKV Variants ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 45

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T22:36:17.309433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-06-28T15:14:49.475561Z digest=sha256:12736772aa3b48d914f3d2ce67b57dda820b21e6b08fb38c0e74fc3cbb95a7a2

Observation 60040f26-7b32-4074-8093-cf2814c21b19 · inbound

LoopMoE: Unifying Iterative Computation with Mixture-of-Experts for Language Modeling cites this paper.

LoopMoE: Unifying Iterative Computation with Mixture-of-Experts for Language Modeling ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T06:36:44.154453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-06-28T07:19:31.075298Z digest=sha256:fc244bb1e692bd4e9ef643bba81eb4a3a2b43cfcf54a90b480cd4e5400938e7c

Observation f42feea1-f9b2-4af7-ae3e-5369cb46b773 · inbound

Test-Time Compute Scaling for ASR with Depth-Conditioned Looped Transformers cites this paper.

Test-Time Compute Scaling for ASR with Depth-Conditioned Looped Transformers ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 17

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verified exact
local_arxiv, observed 2026-07-02T07:26:45.914456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-28T06:56:57.423463Z digest=sha256:23711575a9e8f29e6838c5bbe980a4239814a7d29f1880483dc9199034572ce2

Observation 1df5ee24-76cd-4931-ba51-d3e614a54480 · inbound

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery cites this paper.

Artificial Intelligence for Mathematical Reasoning: An Integrated Survey of Language Models, Neuro-symbolic Systems, and Verified Discovery ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 137

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:47:25.990002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-27T18:39:44.696961Z digest=sha256:aaf59579578c4c1d05d51d34215363dc258ef7fd22f40519e060881a6cd53c25

Observation f42f2463-9612-4e46-a190-5844c87ce574 · inbound

Rethinking Depth: A study of the Recursive-Transformer for Speech Recognition cites this paper.

Rethinking Depth: A study of the Recursive-Transformer for Speech Recognition ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-07-03T03:37:35.900827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-27T15:01:02.462134Z digest=sha256:0488f10cb2282013c1de2f4101f4e3b479a122506a3ee85e976536811dab0a21

Observation cfcfb36e-9e46-4c86-a2eb-f902d7f0dd76 · inbound

Multi-Bitwidth Quantization for LLMs Using Additive Codebooks cites this paper.

Multi-Bitwidth Quantization for LLMs Using Additive Codebooks ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 22

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T13:48:21.343692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-06-27T07:29:14.923431Z digest=sha256:5d821c0b377157f9e5a4e5857c8a0067366b041eceb52010193d733903a0d0da

Observation 70b97758-830b-4ec1-a4fe-04d18e74ed7a · inbound

Repeated Shared Access Enables Grokking, but Edit Propagation Depends on an Addressable Memory cites this paper.

Repeated Shared Access Enables Grokking, but Edit Propagation Depends on an Addressable Memory ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-04T01:09:18.541074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-26T20:43:55.740662Z digest=sha256:f2bb68a77e32cc8e72f3c0bdb1617d5a11eab21dc211ef05cab44c619a85c4a7

Observation a548ef0b-c1c1-4362-9d9d-2e521077712f · inbound

From Sentiment to Actionable Insights: Public Sentiment Analysis of Advanced Air Mobility cites this paper.

From Sentiment to Actionable Insights: Public Sentiment Analysis of Advanced Air Mobility ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 51

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T03:39:29.758997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-26T17:52:25.796384Z digest=sha256:eafc19d8036d476db4aeec1cd17e8c9a21b13f2e67193a4aa69fece34c98581d

Observation a5d311ef-5027-43c0-9362-030b91382fb1 · inbound

BetXplain: An Explanation-Annotated Dataset for Detecting Manipulative Betting Advertisements on Social Media cites this paper.

BetXplain: An Explanation-Annotated Dataset for Detecting Manipulative Betting Advertisements on Social Media ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T13:19:50.819128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-06-26T05:18:36.311573Z digest=sha256:dcbdf94332488c3207092d8da18dd3df90eae866e2abcdbd46ce6cf6bef4ce42

Observation f03bb98d-8d22-4a43-8659-cc26969aa977 · inbound

BetXplain: An Explanation-Annotated Dataset for Detecting Manipulative Betting Advertisements on Social Media cites this paper.

BetXplain: An Explanation-Annotated Dataset for Detecting Manipulative Betting Advertisements on Social Media ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T09:44:37.891725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-30T09:36:12.630813Z digest=sha256:7b551eebbf88055170cd7ed78941ee48ad064e695602d65067db10eacb05206b

Observation 686bfc91-d010-4940-ac07-0445e0724e1c · inbound

Optimization Dynamics Imprint Semantic Specificity in Contrastive Embedding Norms cites this paper.

Optimization Dynamics Imprint Semantic Specificity in Contrastive Embedding Norms ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T03:34:13.354248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-30T03:27:31.177489Z digest=sha256:5a9357920bf19820451bf923cabd081b431648556c1afc1f360612aa90af0b46

Observation 5ac44ec5-8e0d-49b1-b87d-93553b003102 · inbound

One Framework for All: Cross-Modal Membership Inference for Generative Models cites this paper.

One Framework for All: Cross-Modal Membership Inference for Generative Models ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-11T19:58:05.484186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:58:05.484186Z digest=sha256:c4177d259481371350b9f2d6c024894ff0f45f7cf6fe5c0338b2df04989ddc79