Pith. sign in

Paper Citation Record · LEDGER

Encoder-Agnostic Adaptation for Conditional Language Generation

As of 19 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:1908.06938.

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

pith.paper-citation-record.v1
1908.06938 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:34:41.401253Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

39 of 39 outbound references displayed

  • verified exact4
  • verified fuzzy13
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f35decd5-92fc-4875-a8e6-c913e14d6619 · outbound

This paper cites write newline.

Encoder-Agnostic Adaptation for Conditional Language Generation write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.173542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.173542Z digest=sha256:edbd1c2769d696bcb78e6935cb63cc8fd5a58129fec2fbfee5a3c6c17e0d5cf2

Observation f2b0d0d5-a9a3-4412-b6de-abb058d76221 · outbound

This paper cites Bahl, Frederick Jelinek, and Robert L.

Encoder-Agnostic Adaptation for Conditional Language Generation Bahl, Frederick Jelinek, and Robert L

Reference 2

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-14T12:34:42.094557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T12:34:41.180899Z digest=sha256:1ec679f4c026a31d772c596c750b9731a9d301c7c5fdfedb981ee40a7cd19703

Observation 7471e50d-eb6f-47a2-bc31-2ccbee10734b · outbound

This paper cites Diverse and coherent paragraph generation from images.

Encoder-Agnostic Adaptation for Conditional Language Generation Diverse and coherent paragraph generation from images

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:34:42.360846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T12:34:41.186552Z digest=sha256:02b8c1931b8139778c8c6320f18eead0aa2d9b13122d0e1316d3fdd946683249

Observation ca8c9749-ec1d-4aad-a88f-a4fc2fcc18ee · outbound

This paper cites An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models.

Encoder-Agnostic Adaptation for Conditional Language Generation An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.192647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.192647Z digest=sha256:38a0becf5fc9b568fbaa1f109a1c7348134096c62b2f37a75c899294da5b27d6

Observation bd302472-fafd-497f-8fcf-49384011512a · outbound

This paper cites Overview of DUC 2006.

Encoder-Agnostic Adaptation for Conditional Language Generation Overview of DUC 2006

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:34:42.344559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T12:34:41.198409Z digest=sha256:abe4b85658d8814fed22fc3a83a3fc2dccd6816d1af9bd802737d71ef8e064c5

Observation 4c1cb4c6-4e41-4a2f-9d2d-e0a49f95da98 · outbound

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

Encoder-Agnostic Adaptation for Conditional Language Generation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.205079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.205079Z digest=sha256:8e3fb93b71be871a429c1f10422cdfc248425acfedf2a7a3399609cf711f6319

Observation ac84aabc-07b3-49fa-88e4-0ecd5e5a88c6 · outbound

This paper cites Unified Language Model Pre-training for Natural Language Understanding and Generation.

Encoder-Agnostic Adaptation for Conditional Language Generation Unified Language Model Pre-training for Natural Language Understanding and Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.210882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.210882Z digest=sha256:487adf18fe6924370b3def58f866bbebe1b347b564137a15e4f78ca5e24aab0a

Observation 0186f077-ce17-48f0-8204-6abece4d46d5 · outbound

This paper cites Pre-trained Language Model Representations for Language Generation.

Encoder-Agnostic Adaptation for Conditional Language Generation Pre-trained Language Model Representations for Language Generation

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:34:42.328506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T12:34:41.218024Z digest=sha256:1a29c16a2f36406933996332ff3e77b5be483734108227c890b57b5b83ab2940

Observation 1a476175-bbac-49e6-b91e-e5752936f655 · outbound

This paper cites Hierarchical Neural Story Generation.

Encoder-Agnostic Adaptation for Conditional Language Generation Hierarchical Neural Story Generation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.223104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.223104Z digest=sha256:79d12ce5c6ed73ec4158fc864f7153fe8efdde664c55caf9914ccc6e6394c411

Observation cafd115c-3e14-40bc-b402-e112a3ac9ddf · outbound

This paper cites Bottom-Up Abstractive Summarization.

Encoder-Agnostic Adaptation for Conditional Language Generation Bottom-Up Abstractive Summarization

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.229117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.229117Z digest=sha256:2bc7cea73601d809fa6d2a89bf21651ebd54f2c1d0397b3137a2839d1920886d

Observation d1f158c3-0c12-493e-a9f8-9107cc51b96a · outbound

This paper cites Large-scale transfer learning for natural language generation.

Encoder-Agnostic Adaptation for Conditional Language Generation Large-scale transfer learning for natural language generation

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:34:42.311890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T12:34:41.235339Z digest=sha256:0ad5e739a13fd2a0724ec431fe30f250d76c97800b951d2dd94662bbaf1028be

Observation b2171988-a00c-4abc-a87d-75f638046b30 · outbound

This paper cites On Using Monolingual Corpora in Neural Machine Translation.

Encoder-Agnostic Adaptation for Conditional Language Generation On Using Monolingual Corpora in Neural Machine Translation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.241069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.241069Z digest=sha256:86df8f6490279e717d4489d52be149bade124c428b34d708dc6084dc3d3bb053

Observation 053fbe34-16e0-4e30-914c-0a9ef7113ab0 · outbound

This paper cites Teaching Machines to Read and Comprehend.

Encoder-Agnostic Adaptation for Conditional Language Generation Teaching Machines to Read and Comprehend

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.246668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.246668Z digest=sha256:5d420ddfde99f2f27b4a4ccda89fe3a20b4b305e6891a4bda64c0032f074add7

Observation bf7fe4a5-ecb2-4893-8811-f8379ab637ca · outbound

This paper cites Parameter-Efficient Transfer Learning for NLP.

Encoder-Agnostic Adaptation for Conditional Language Generation Parameter-Efficient Transfer Learning for NLP

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.253746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.253746Z digest=sha256:aa13292c0ee8c8d5ef9cb56a6d155d70dd5fd375299812a64e9753cbb2c828b1

Observation 54c7fda0-1576-426e-8bad-23c575e21dc6 · outbound

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

Encoder-Agnostic Adaptation for Conditional Language Generation Universal Language Model Fine-tuning for Text Classification

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.260914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.260914Z digest=sha256:1ec20d07b11ee33c94a796cd07194ca4405b42304ca2e981b2d2e6e1d2b9f6d0

Observation d4292099-20cc-487b-8d5c-6294fcd07abe · outbound

This paper cites Bag of Tricks for Efficient Text Classification.

Encoder-Agnostic Adaptation for Conditional Language Generation Bag of Tricks for Efficient Text Classification

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.265975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.265975Z digest=sha256:77fbc86acfd5132ac48bbdffcfb2f24097d8d7a5d126a84d894d9a45ccc608a6

Observation 4ebaeedc-d180-48e1-8ae6-76d04b68bf39 · outbound

This paper cites Statistical Phrase-Based Translation.

Encoder-Agnostic Adaptation for Conditional Language Generation Statistical Phrase-Based Translation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:34:42.293491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T12:34:41.271244Z digest=sha256:77e3a43a8abe1f91b1a2e6ee1bb6c04c19cde943648efdb00a18bbe2d2869268

Observation 77c16995-c59f-4d45-81ad-746c79b0bd3b · outbound

This paper cites A hierarchical approach for generating descriptive image paragraphs.

Encoder-Agnostic Adaptation for Conditional Language Generation A hierarchical approach for generating descriptive image paragraphs

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:34:42.277598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T12:34:41.276687Z digest=sha256:a72a994e0e90912c1612fad7a60ee35827e4b508fae637c59a8993391393948a

Observation 653fceb3-4785-4dbd-8b23-4b242a5c5345 · outbound

This paper cites Cross-lingual Language Model Pretraining.

Encoder-Agnostic Adaptation for Conditional Language Generation Cross-lingual Language Model Pretraining

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.283625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.283625Z digest=sha256:af3d26d3fabe39e7be96638d87ddf5ca42d154960d7f49565965cfe2120cc3bf

Observation b3daaf1c-d43b-4b18-8b08-9a406d2957b8 · outbound

This paper cites Learning Word Vectors for Sentiment Analysis.

Encoder-Agnostic Adaptation for Conditional Language Generation Learning Word Vectors for Sentiment Analysis

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:34:42.262751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T12:34:41.289533Z digest=sha256:817d6ff136083515bab757170f47a3929ade55f2b12997fe3a2b8053ef37b5de

Observation 504080b5-f526-42e9-801e-0f926923036a · outbound

This paper cites Learned in Translation: Contextualized Word Vectors.

Encoder-Agnostic Adaptation for Conditional Language Generation Learned in Translation: Contextualized Word Vectors

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.295129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.295129Z digest=sha256:e1dcb40a992d017d6d7f396892280ff204dacefb929106428784c054093ce4a4

Observation e1f4ca83-4bd3-4135-b520-a765c6f55ca5 · outbound

This paper cites Training for diversity in image paragraph captioning.

Encoder-Agnostic Adaptation for Conditional Language Generation Training for diversity in image paragraph captioning

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:34:42.247802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T12:34:41.301050Z digest=sha256:60f2c51870b397467b9a1e92dceaa39d9be9b9adaf0de172746b6d6f92ed5b4a

Observation 1c4c9973-2227-417c-98f4-bd6f1d5f91dd · outbound

This paper cites Distributed Representations of Words and Phrases and their Compositionality.

Encoder-Agnostic Adaptation for Conditional Language Generation Distributed Representations of Words and Phrases and their Compositionality

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:34:42.231887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T12:34:41.307805Z digest=sha256:e8fb8a336b2af63a9f4d44dac2cd0e872548e92e2dd470721a012a47b14fdc4a

Observation 55cb259a-11a7-4eb8-b78c-ad9bf7a07231 · outbound

This paper cites Deep contextualized word representations.

Encoder-Agnostic Adaptation for Conditional Language Generation Deep contextualized word representations

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.314461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.314461Z digest=sha256:c7d3ccc58532d972c69594fde2c58a72645bf135683d0437b0321a4715e06683

Observation 6b328f56-7833-4d7a-b52f-f1a65e049b5e · outbound

This paper cites GPT: Improving Language Understanding by Generative Pre-Training.

Encoder-Agnostic Adaptation for Conditional Language Generation GPT: Improving Language Understanding by Generative Pre-Training

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.319942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.319942Z digest=sha256:897f1407a6d7c30ff285129947a41c09a7042d644c0ea687e992e336140ea154

Observation 8fd2c509-80af-448d-9586-fab7cc2bc175 · outbound

This paper cites Language Models are Unsupervised Multitask Learners.

Encoder-Agnostic Adaptation for Conditional Language Generation Language Models are Unsupervised Multitask Learners

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:34:42.213744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T12:34:41.325305Z digest=sha256:a57c4c10676453b0b9290ec6ea7556858840a504c7655e72d0c67cee73b7cf97

Observation 348bb5b3-1c3f-4929-a713-77fd02183a5b · outbound

This paper cites Liu, and Quoc V.

Encoder-Agnostic Adaptation for Conditional Language Generation Liu, and Quoc V

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:34:42.196153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T12:34:41.330548Z digest=sha256:f28094ac7ddaf945651fb0053286efd29688aba77e0437b14778ae6c566b8f36

Observation d5dd2fb5-fa50-474b-8086-bce63d30e699 · outbound

This paper cites Style transfer from non-parallel text by cross-alignment.

Encoder-Agnostic Adaptation for Conditional Language Generation Style transfer from non-parallel text by cross-alignment

Reference 28

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-14T12:34:41.706726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T12:34:41.337380Z digest=sha256:c1be3fe1a2a9949582f194978221124a7668669f72b28558c3217b5dfcf32828

Observation dd5426b7-e798-4055-b128-1a30ddfa01b2 · outbound

This paper cites an unresolved cited work.

Encoder-Agnostic Adaptation for Conditional Language Generation Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:34:42.179257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T12:34:41.342881Z digest=sha256:7c92ae75ccebf50806087a14cb0a0d44e136add08f970f5afea9ebf73ebc5588

Observation 884a30c6-686b-483e-ad0d-ed8012be44f0 · outbound

This paper cites Cold fusion: Training Seq2seq models together with language models.

Encoder-Agnostic Adaptation for Conditional Language Generation Cold fusion: Training Seq2seq models together with language models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.348222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.348222Z digest=sha256:43429be4bb4f768778c669b706f6f06f46cd6067909be6a9b8715a1600759a32

Observation cb809c3d-81c0-4e1a-be7e-8ad0503d82a9 · outbound

This paper cites Simple Fusion: Return of the Language Model.

Encoder-Agnostic Adaptation for Conditional Language Generation Simple Fusion: Return of the Language Model

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:34:41.539839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T12:34:41.354197Z digest=sha256:7f72702c7186a1f0099fb800be81eacd1940c31d66e7dcf2e9ae51861315963a

Observation 07a708ef-5362-4aa1-a856-ae444c705527 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Encoder-Agnostic Adaptation for Conditional Language Generation Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:34:42.162477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T12:34:41.361594Z digest=sha256:a6511d6fa018515a514aeed7e40906c62de7744fb44a11e9e33ba5a1a36ad758

Observation 83723db5-07e9-4ee8-9e4b-a11baf974b56 · outbound

This paper cites Language Models with Transformers.

Encoder-Agnostic Adaptation for Conditional Language Generation Language Models with Transformers

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.367744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.367744Z digest=sha256:79e90240618eefe48fdf7203dac72897def0b64d06824c6bea3796ac83075e15

Observation 7ed99ee1-d7c1-4754-b939-3b1ab549b580 · outbound

This paper cites The Neural Noisy Channel.

Encoder-Agnostic Adaptation for Conditional Language Generation The Neural Noisy Channel

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.373472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.373472Z digest=sha256:f6f1528f94d996959f016015fe47abf749e189900453b7be1483b2834f531e75

Observation 1858ede6-9dd7-48ac-afe0-1d6169407631 · outbound

This paper cites Pretraining-Based Natural Language Generation for Text Summarization.

Encoder-Agnostic Adaptation for Conditional Language Generation Pretraining-Based Natural Language Generation for Text Summarization

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:34:41.477429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T12:34:41.378547Z digest=sha256:586777ee7fd42822987cadd9568448c1b6be3eea58d36c56e4c38b862262eddc

Observation 43d0d0df-9bd1-4e30-9d22-06725c2476f4 · outbound

This paper cites Adversarially regularized autoencoders.

Encoder-Agnostic Adaptation for Conditional Language Generation Adversarially regularized autoencoders

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:34:42.144650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-14T12:34:41.385043Z digest=sha256:6ab8df984ea2bb09d5ca539b28a4f2bc7d26668586e3c09a18dfe023f4a30a0e

Observation 04bd07dd-be36-4052-b613-4ef28237eede · outbound

This paper cites @esa (Ref.

Encoder-Agnostic Adaptation for Conditional Language Generation @esa (Ref

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.390130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.390130Z digest=sha256:95ec6ffc9f79c41b2536c6a4ef1ccc2d1a52c914149111621182ea29926e49db

Observation 1e3d485a-eaa9-4b9b-aefd-7331cd4e7e78 · outbound

This paper cites an unresolved cited work.

Encoder-Agnostic Adaptation for Conditional Language Generation Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.395685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.395685Z digest=sha256:915f1ea75d5cc807cc4071386c4d7b27004e18ec66db185ad6bc67d1bf098963

Observation 60c20731-efe2-44df-a8e2-19fda024f12a · outbound

This paper cites an unresolved cited work.

Encoder-Agnostic Adaptation for Conditional Language Generation Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-14T12:34:41.401253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:34:41.401253Z digest=sha256:9ce84e0ee12b7667b7c7576b5debfd82e19f77bb78e82843a6f18b050b55e760

Pith citing papers

No inbound Pith citation observations are available.