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Paper Citation Record · LEDGER

Adaptable Embeddings Network (AEN)

As of 13 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2411.13786.

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

pith.paper-citation-record.v1
2411.13786 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:57:59.299903Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

  • verified exact3
  • verified fuzzy1
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7573772-d240-4dd3-9b60-37f8fc5bab1c · outbound

This paper cites Comprehensive Exploration of Synthetic Data Generation: A Survey.

Adaptable Embeddings Network (AEN) Comprehensive Exploration of Synthetic Data Generation: A Survey

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.177834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.177834Z digest=sha256:959a4684800db1f4ee26f3dcc747457bb1525f1025b30f8bc3759440c4cdc2a7

Observation 1b0194e5-a023-4391-b0b1-b46ebc115e2c · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

Adaptable Embeddings Network (AEN) LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.183196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.183196Z digest=sha256:f71225df0a8d48cbc02a85df07127bf3f10e9a3abad803b909e97ebba7ac76f2

Observation a84d36dc-74d4-41ca-9738-119c2e0b3dc6 · outbound

This paper cites Language Models are Few-Shot Learners.

Adaptable Embeddings Network (AEN) Language Models are Few-Shot Learners

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.188319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.188319Z digest=sha256:1e002f1fc614d7d0d27ea75d9a53d6577081ac77f6f909e24e142d4798fe5596

Observation 7a1da361-b80b-4643-b785-716e896b18b9 · outbound

This paper cites Universal Sentence Encoder.

Adaptable Embeddings Network (AEN) Universal Sentence Encoder

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.193782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.193782Z digest=sha256:25678ef6307449d6e4e4cf8aa2a2bb357ca84c36ca63ad9061152fdc02d2954a

Observation e47efa16-377a-4a07-8c12-1598d1364833 · outbound

This paper cites A Tutorial on Kernel Density Estimation and Recent Advances.

Adaptable Embeddings Network (AEN) A Tutorial on Kernel Density Estimation and Recent Advances

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.198530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.198530Z digest=sha256:003aa170387be8db659f95249a737f6c0a7dc15d4ad69a6e8129d87f92de751c

Observation e1808d4b-60c0-47b7-a303-81e65b253977 · outbound

This paper cites an unresolved cited work.

Adaptable Embeddings Network (AEN) Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:57:59.817503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T15:57:59.203818Z digest=sha256:4f48ea7873136a2f6dc77227a613c2c971dfcf474e95c1494d69fe53d5d33951

Observation 3d66badc-b626-4f4e-a003-05ab756ede86 · outbound

This paper cites Supervised Learning of Universal Sentence Representations from Natural Language Inference Data.

Adaptable Embeddings Network (AEN) Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.208788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.208788Z digest=sha256:0377b86057b57cbb72c37cc89eca8302599fef6257ce7a00beba6eca2175eae3

Observation dbc3fa3d-8723-405e-ae86-57026931e37a · outbound

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

Adaptable Embeddings Network (AEN) BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.213582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.213582Z digest=sha256:9043a7f999338ed9228b1c9890daa8e5265492880fe42ef7bc7edd57dd7ffb3a

Observation af0adece-d117-41f8-b2ab-71e45f5b5603 · outbound

This paper cites Learning thematic similarity metric from article sections using triplet networks.

Adaptable Embeddings Network (AEN) Learning thematic similarity metric from article sections using triplet networks

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.218341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.218341Z digest=sha256:c6370ad16ee5abf40f53516c01ac8cad07096a0a232d3fc41ed89157b373d1ae

Observation 60d2ee92-6954-49c0-9dd1-3279a20ca9ef · outbound

This paper cites an unresolved cited work.

Adaptable Embeddings Network (AEN) Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.223220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.223220Z digest=sha256:b0c55c15947b64057c3dc1bd02119cc5039ac75e02c1a53ad1635536a6430787

Observation 4fc13f3e-7c27-4f32-8513-70ce975154d8 · outbound

This paper cites Deep Learning.

Adaptable Embeddings Network (AEN) Deep Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.227575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.227575Z digest=sha256:8919025d64979e8ae9e0a239de641e65bac7d8f0f51e1d3d26f1ec125efa165a

Observation 0ce82e5f-4444-4419-b48e-2a036219b6e3 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Adaptable Embeddings Network (AEN) LoRA: Low-Rank Adaptation of Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.231470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.231470Z digest=sha256:3fb6915751ac568296448f62dc7bee4b8a32d86784417d6e1062d700f0b38675

Observation 8e9a6634-bc02-4a4a-94ff-c1c1767f2d2e · outbound

This paper cites SentimentGPT: Exploiting GPT for Advanced Sentiment Analysis and its Departure from Current Machine Learning.

Adaptable Embeddings Network (AEN) SentimentGPT: Exploiting GPT for Advanced Sentiment Analysis and its Departure from Current Machine Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.235487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.235487Z digest=sha256:71d1f8cb97a9182d4e777d5d74d537104bbfd32ce9ca3862a4e28455e7102f3c

Observation 3b99c89b-e464-4028-a4ac-6e796a9dc4a8 · outbound

This paper cites Small Language Models are Good Too: An Empirical Study of Zero-Shot Classification.

Adaptable Embeddings Network (AEN) Small Language Models are Good Too: An Empirical Study of Zero-Shot Classification

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:57:59.654964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T15:57:59.239773Z digest=sha256:9019b55f2cc72e17d625f8bfc14edf426a7bb52d720b4493e4f4f885635d4b4a

Observation 0614a211-128c-40e0-8531-b4ba006f5f9b · outbound

This paper cites A Guide to Similarity Measures.

Adaptable Embeddings Network (AEN) A Guide to Similarity Measures

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.243665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.243665Z digest=sha256:203bfcce6b38205d5c3ab8d420a649dd4e87519087135646959ce30962e15256

Observation 9f3a7c26-eecd-49d2-9d72-99cebf813dfc · outbound

This paper cites Textbooks Are All You Need II: phi-1.5 technical report.

Adaptable Embeddings Network (AEN) Textbooks Are All You Need II: phi-1.5 technical report

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.247602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.247602Z digest=sha256:e555ff3edfa5c42aac0bd7d6ca452dc0440b0eb3e1f2034a73c5ab4d4dc023e1

Observation c4fb30f4-e00d-4b8c-a080-85a84b1431d3 · outbound

This paper cites When ai makes ai: Synthetic data, model distillation, and model collapse, 2024.

Adaptable Embeddings Network (AEN) When ai makes ai: Synthetic data, model distillation, and model collapse, 2024

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:57:59.788355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T15:57:59.251902Z digest=sha256:7a935ed51e45397176dbf6cae699c09a300242e20b738873ca1b97df41df5afd

Observation 90482ed2-6c49-4c02-b369-832d9719e334 · outbound

This paper cites A Comprehensive Overview of Large Language Models.

Adaptable Embeddings Network (AEN) A Comprehensive Overview of Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.255780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.255780Z digest=sha256:7ea54bd19d0df8b7ac5b2a1d80e0148574e3a6628fd59ca7257594db344ed5bd

Observation 6d6ce43c-b2b0-438b-94cb-3e0272fecc70 · outbound

This paper cites Generalized mean shift with triangular kernel profile.

Adaptable Embeddings Network (AEN) Generalized mean shift with triangular kernel profile

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:57:59.600258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T15:57:59.259974Z digest=sha256:f88acfcfe4c39edacd51f6bdbdcf25ebfd37f15edad7edca2b302cd5bc4d656d

Observation 34bf72f9-06a2-421f-afd6-15a8713221c2 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Adaptable Embeddings Network (AEN) Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.264002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.264002Z digest=sha256:3b1825fcb394bf76b6e0b4fcdfa8f2cd1e7f2b2a0af3066d1ce3549dbf78534e

Observation ce082455-6042-48d5-8745-ade2e6aedde5 · outbound

This paper cites A Sharp Fourier Inequality and the Epanechnikov Kernel.

Adaptable Embeddings Network (AEN) A Sharp Fourier Inequality and the Epanechnikov Kernel

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-12T15:57:59.570320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T15:57:59.268339Z digest=sha256:72955d0ba3b2e34ee0a57865fcd17aae34b91fdd6c65bfe973b97c87d8f20847

Observation a5dbf757-ac84-4faf-a8a6-68c390e2663a · outbound

This paper cites Facenet: A unified embedding for face recognition and clustering.

Adaptable Embeddings Network (AEN) Facenet: A unified embedding for face recognition and clustering

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.273110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.273110Z digest=sha256:18aae068e0ef58e2bea7311c2cf3bdf84d88ce9df82c82971443a6fb0e5334d8

Observation cef872ea-96e7-47d4-8fa3-b87a64791866 · outbound

This paper cites Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks.

Adaptable Embeddings Network (AEN) Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.277517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.277517Z digest=sha256:ff55a941f899a5fb80c9b7c147ec4f8b34b256a7979a201ebbdc8d7e101e5780

Observation 1c7fe4ad-22ed-4d23-aa5f-6e4840c8bf4d · outbound

This paper cites Efficient Few-Shot Learning Without Prompts.

Adaptable Embeddings Network (AEN) Efficient Few-Shot Learning Without Prompts

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.281370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.281370Z digest=sha256:0f5fa229bc848ae26b00bf9a7386cf2c3ec82aa8f3158fc17593ca154339647d

Observation d3d6b099-a9ce-4e44-8e7e-734088c563ce · outbound

This paper cites Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science.

Adaptable Embeddings Network (AEN) Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.285929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.285929Z digest=sha256:17816f12c9a46d8583b41d62e1cb5639e28483f7fdbdc43c9a42922f2a628089

Observation f723b62d-ef31-460b-89bc-cde8bb3b3543 · outbound

This paper cites GPT-NER: Named Entity Recognition via Large Language Models.

Adaptable Embeddings Network (AEN) GPT-NER: Named Entity Recognition via Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.290741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.290741Z digest=sha256:a99ac413881c5e7cf341b155ba7ea1bb66e639dc7bd6608a163473b1ef9ac5e1

Observation 18740d9f-8014-4006-95e8-432be34077dd · outbound

This paper cites Aggarwal, Jian Pei, and Yuanchun Zhou.

Adaptable Embeddings Network (AEN) Aggarwal, Jian Pei, and Yuanchun Zhou

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T15:57:59.294574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.294574Z digest=sha256:ad6bd19a78961cc9835182773dcb674517890f0ad562faf0665f8f3c2607d087

Observation 4518ae30-4f02-4960-a513-ec5cef061eb2 · outbound

This paper cites A simple efficient density estimator that enables fast systematic search.

Adaptable Embeddings Network (AEN) A simple efficient density estimator that enables fast systematic search

Reference 28

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T15:57:59.348185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T15:57:59.299903Z digest=sha256:97e1a96b569fd1c40d3fa10e8ce78929c2cf46e7e4258b226a866f9f48f988ca

Pith citing papers

No inbound Pith citation observations are available.