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Paper Citation Record · LEDGER

Representative Language Generation

As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 3 inbound Pith citation observations for arXiv:2505.21819.

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

pith.paper-citation-record.v1
2505.21819 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:43:41.526577Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T13:09:35.734743Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:20:06.879981Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df5a4795-6f7e-49bc-9554-5bc92ca9a807 · outbound

This paper cites Wasserstein generative adversarial networks.

Representative Language Generation Wasserstein generative adversarial networks

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:38.381221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:43:38.381221Z digest=sha256:0fafd200a03edc369e95f43e3d8d177cf74142c3f8f0240e1350e28470dd7d3c

Observation 3f2a122b-2bae-48eb-8a6e-015589f6689c · outbound

This paper cites Finding patterns common to a set of strings.

Representative Language Generation Finding patterns common to a set of strings

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:47.435673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:43:38.459429Z digest=sha256:be9cbb80c45decffd2134aaaf6c3954c193452167b02c7a8e3b41b29df813251

Observation be18f35f-d86b-459b-a6a0-c1ff49d4846e · outbound

This paper cites Inductive inference of formal languages from positive data.

Representative Language Generation Inductive inference of formal languages from positive data

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:47.279871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:43:38.532180Z digest=sha256:b05ad6c4bfb7466fd6efb9883f1093e9636155552f1b74bcdc626067890c76f6

Observation 17546a19-5fd9-4553-a392-863c6f8d762b · outbound

This paper cites On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency , pages 610--623, 2021.

Representative Language Generation On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency , pages 610--623, 2021

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:38.613912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:43:38.613912Z digest=sha256:b13e583446623b30ace2b9d0c26fe2c27f7ce4d2303f578a3e15f4d63e6bc3f0

Observation 699daa9f-318e-421a-a2b7-d9e96b1594d3 · outbound

This paper cites A theory of universal learning.

Representative Language Generation A theory of universal learning

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:47.047876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:43:38.712531Z digest=sha256:b13d391e3f430f346859a4f6edcf04cb6e7f8c8391ca502641456710a5382127

Observation 9ee2e22f-2ab6-4e87-8c92-67ad6e4f1d57 · outbound

This paper cites Fat-shattering and the learnability of real-valued functions.

Representative Language Generation Fat-shattering and the learnability of real-valued functions

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:46.706038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:43:38.787309Z digest=sha256:4be7586935745ab9e716010e97cde1356b7187cf9329857f4c58c1479092a4c9

Observation ca5580e5-ac1a-45d0-81df-851c00c24990 · outbound

This paper cites Exploring Facets of Language Generation in the Limit.

Representative Language Generation Exploring Facets of Language Generation in the Limit

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:38.890337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:43:38.890337Z digest=sha256:dcc5341c2ccbb52bf7114a5009a557fd9a352281ef3b7c274e2761b5748c2f2a

Observation 883db391-7b12-4d22-9811-f75cf0d17d4b · outbound

This paper cites Outcome indistinguishability.

Representative Language Generation Outcome indistinguishability

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:46.340720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:43:39.004518Z digest=sha256:2c62b1a0ca6944626dcd7c07e130973a64a87cd61737a8f16a16d42bc2b71fb2

Observation db128fdb-d3a7-4e6f-9245-4368210bca16 · outbound

This paper cites Omnipredictors.

Representative Language Generation Omnipredictors

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:39.076459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:43:39.076459Z digest=sha256:46a759259df6e542d82b771a83f1495b5ff2c042268ad50e569ae83bb26621c6

Observation 2f449bda-de77-467b-bd39-2106404280b4 · outbound

This paper cites Language identification in the limit.

Representative Language Generation Language identification in the limit

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:45.965885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:43:39.144406Z digest=sha256:62fb79414fc9082fe531305e81a1ced7826359f550b95ecf664f6eac8fdcc6ca

Observation 83a9152a-9452-405d-96e2-95e8f33ccbec · outbound

This paper cites Generative adversarial networks.

Representative Language Generation Generative adversarial networks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:39.263547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:43:39.263547Z digest=sha256:86801c1ccc5bae61c06634c487a1965acae2828402570a732131bb36a87da587

Observation 26529a58-5d02-4588-b1e5-a199f0416166 · outbound

This paper cites Bias and fairness in large language models: A survey.

Representative Language Generation Bias and fairness in large language models: A survey

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:45.649437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:43:39.357112Z digest=sha256:01917c7d337cf54cb442992d64bd22d5c912e076faeec6e9c727bdf5d8bd8593

Observation cdceb6f3-ddb5-4f3f-956d-ca7619c7b5f6 · outbound

This paper cites Multicalibrated partitions for importance weights.

Representative Language Generation Multicalibrated partitions for importance weights

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:45.237290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:43:39.477044Z digest=sha256:2f363e1c12810f8d1b0a7ecb040bb0625ef6120de21295c7dad9690646435f4c

Observation 8b396ebc-3c8f-498d-adc3-8be256b7dd17 · outbound

This paper cites Multicalibration: Calibration for the (computationally-identifiable) masses.

Representative Language Generation Multicalibration: Calibration for the (computationally-identifiable) masses

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:44.859825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:43:39.640653Z digest=sha256:19f592d47dffadeda138ef2abb7be3d111c58523899e2101984c8669d264863f

Observation 893a8d6d-ec54-4074-8e02-3e2ff41c2a87 · outbound

This paper cites Bias out-of-the-box: An empirical analysis of intersectional occupational biases in popular generative language models.

Representative Language Generation Bias out-of-the-box: An empirical analysis of intersectional occupational biases in popular generative language models

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:44.546109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:43:39.870488Z digest=sha256:102c8236b17e63efb5ef33aa0288636a1ac3f60cca08fbb5e1cdf3894b2a68ac

Observation a4f802fc-d177-4d72-84b6-4c1cbe855392 · outbound

This paper cites Language Generation in the Limit.

Representative Language Generation Language Generation in the Limit

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:40.028875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:43:40.028875Z digest=sha256:8a2786eaed316cf4dcf1b35eb87c7298ad5b06b9a9751835d6ab44c4dbaf7b8a

Observation 061454e6-bccf-47bc-a335-0dc9c6025dc9 · outbound

This paper cites On Characterizations for Language Generation: Interplay of Hallucinations, Breadth, and Stability.

Representative Language Generation On Characterizations for Language Generation: Interplay of Hallucinations, Breadth, and Stability

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:40.290933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:43:40.290933Z digest=sha256:719360877ebee78e69bc2a91da6e2bdce2355c885c9c4337423d8d80474fa1c6

Observation 833d45d9-3bd8-45ae-a658-aabeffd0e8e3 · outbound

This paper cites On the limits of language generation: Trade-offs between hallucination and mode collapse.

Representative Language Generation On the limits of language generation: Trade-offs between hallucination and mode collapse

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:40.423850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:43:40.423850Z digest=sha256:1f107c5997ab412ffd2337f2ab285cd6ba08cd761a9dafa5f50e9657788ccabc

Observation ecd45ac3-528f-4c6f-903a-8840feb5e006 · outbound

This paper cites Preventing fairness gerrymandering: Auditing and learning for subgroup fairness.

Representative Language Generation Preventing fairness gerrymandering: Auditing and learning for subgroup fairness

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:44.145513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:43:40.504129Z digest=sha256:6118102b4cb3490de189ed1ce788905f85b2b71ee2f03de48bf545a8615fb84f

Observation 64273348-97b7-44c1-9c27-0edd22fbdab9 · outbound

This paper cites Generation through the lens of learning theory.

Representative Language Generation Generation through the lens of learning theory

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:40.564520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:43:40.564520Z digest=sha256:eaad01c16d98ae977c6d2271fd8b7f35ba3fc75fe7733c7cc2d0dfaebda61459

Observation af428501-3d51-41e6-918a-838e0a42150e · outbound

This paper cites Bias against 93 stigmatized groups in masked language models and downstream sentiment classification tasks.

Representative Language Generation Bias against 93 stigmatized groups in masked language models and downstream sentiment classification tasks

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:43.777223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:43:40.649416Z digest=sha256:74269c9a36025fb9d498a8fd84296685fd3be41566419f356dad16c46c1b33eb

Observation 1a133c8f-5234-4a53-81f1-d5fc71399887 · outbound

This paper cites Online learning via sequential complexities.

Representative Language Generation Online learning via sequential complexities

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:43.362472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:43:40.741210Z digest=sha256:f72a8ec663ae4583d26273073a1b6016def9e0034b9a89e38aac59f70b010d95

Observation 4f6c6c82-b610-4c8c-ab28-de6d85906e97 · outbound

This paper cites The woman worked as a babysitter: On biases in language generation.

Representative Language Generation The woman worked as a babysitter: On biases in language generation

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:43.076141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:43:40.928755Z digest=sha256:751a336ebf5aef4c28a05b2ece2ff243235568d5bed18fc7126a1c53654477b5

Observation 18897332-8256-4e68-a5a9-04e1d7e45ead · outbound

This paper cites Societal biases in language generation: Progress and challenges.

Representative Language Generation Societal biases in language generation: Progress and challenges

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:42.701821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:43:41.064220Z digest=sha256:499853178e84c70439676bda18a04f7d442bd61aea4dee719cec37d01b438b98

Observation ee82f993-12db-49ba-a03d-47c118644bba · outbound

This paper cites Catastrophic forgetting and mode collapse in gans.

Representative Language Generation Catastrophic forgetting and mode collapse in gans

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:42.356436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:43:41.197774Z digest=sha256:ccd0a9a175b2023972cec5b303f154d9ab37e19e6aa532517b41c689e9eb657d

Observation 9232cc4c-d890-40f1-86c0-f3feca350804 · outbound

This paper cites Taming mode collapse in score distillation for text-to-3d generation.

Representative Language Generation Taming mode collapse in score distillation for text-to-3d generation

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:42.009098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:43:41.364432Z digest=sha256:1d7222e55b458590a8cd7301db39d844e83b8da1c729c0e2ad822c4a506f3af6

Observation 8a5c9e3c-bf5e-4496-bc25-94884ae5c9f9 · outbound

This paper cites Bias in Generative AI.

Representative Language Generation Bias in Generative AI

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:41.526577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:43:41.526577Z digest=sha256:b7b7e74f84b00aad64be2396eacb69dce524056aad671278ccb555b7d0e7bd2c

Pith citing papers

Observation 6f21bd55-b4b1-4029-95de-8309ae7b4d6f · inbound

Mistake-Bounded Language Generation cites this paper.

Mistake-Bounded Language Generation Representative Language Generation

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:11:26.391422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T03:37:26.344880Z digest=sha256:7f56dc03025229a3af7ea2c42114a1a6b8ad9522d976b34244dcc419b14f9df3

Observation 88fb6cd5-4c4d-4448-a4d8-c2101b475e2b · inbound

Space-Efficient Language Generation in the Limit cites this paper.

Space-Efficient Language Generation in the Limit Representative Language Generation

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:20:06.881680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-25T20:26:09.264043Z digest=sha256:71240b550efd8f597cd5ad6c6c73936e1a917a084272ff0367d31ded5e19c31b

Observation 082b2ace-c474-48e5-853f-c0f329e986ea · inbound

Mitigating Compounding Error via Video Representation Regularization cites this paper.

Mitigating Compounding Error via Video Representation Regularization Representative Language Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-30T13:09:35.734743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T13:09:35.734743Z digest=sha256:7d3286d8e4a793093e75747dc2980ac8bd395bfa3a758de9fb6dcd76652e4137