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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:43:38.459429Z digest=sha256:8c9813f53157c2c5aeb47d0e9b5936304f5aa57704c2a87df61bc76b06b55bae

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:43:38.532180Z digest=sha256:3c0b7342dc7e5feab03694ad34243fcd621f5544d068c2f93d63f7fb4742b2d1

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:43:38.712531Z digest=sha256:db45edaaec4ab7da59161852547ad2d3837bd3a8ff02fd6da2be2e97c8de74e4

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:43:38.787309Z digest=sha256:3a653970514e45e816a88dc093a093ec3d4dd1fc69fcee977379a73959fdfc14

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:43:39.004518Z digest=sha256:bce247330a376f4fc543da1977c7ce93ca6ea507a18dcb8a1cfe00f539a62adb

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:43:39.144406Z digest=sha256:166bd9564611cfaf63b85d4ec82531c5f1f4ec257132af885fb1b14b5985ae4c

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:43:39.357112Z digest=sha256:936917f26b9830c3dec8ee40cc36abe492a4a7e46e51e4c0cc661624b3e395f7

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:43:39.477044Z digest=sha256:275d84f63aa9a23a42a399a2333005da5da79faffe96b1de1b52da9f479d5f9b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:43:39.640653Z digest=sha256:276565044d7e534de380cc53641e9b237486f95010997fe84a852725cf031b91

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:43:39.870488Z digest=sha256:e682af0dc13f8dd18d4a44ebcee768366574595cffcc3dfda0937e20a962554a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:43:40.504129Z digest=sha256:b973d313347f185d6252d9f9f87ba5a0e815369af3709c0c0ba390fd55be83e0

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:43:40.649416Z digest=sha256:c9667be2619da1cccf1ea8bc9af25c85f08868a30706e9696a177a4e1c2298f5

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:43:40.741210Z digest=sha256:6f289c4b77f1160658097b50ff902d279dcffc9ab7d6e75cdbcecb25700a04a7

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:43:40.928755Z digest=sha256:cb4fbb4d8dba4f1cd43583b41cc006210f2f813e31a16250ca7b57125279f2ab

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:43:41.064220Z digest=sha256:2c1af182b07e9e46f7e64eed0a67e913ef2c05632fe6dfeaa91b60d1ec59b00f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:43:41.197774Z digest=sha256:829bd2cbdfa840956f002407e42d5487e751595d08cbce017fdedefd661b4bb7

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:43:41.364432Z digest=sha256:2257bc61dc888cbbf05e5d064ce0e5d3dac3a9815054ff248def18a29dd87c32

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=sha256:2b50056f05b159be9ed8e32efd1db086eb69828462ad4f874ce1fa79b5c26b3c

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T03:37:26.344880Z digest=sha256:b4ecc38244fc369022bff661de4e6d602cdf3ac60c61721b37feeaca72d4b318

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-25T20:26:09.264043Z digest=sha256:9bb52597da2742f4a0ee72b6692fdb4afbbd804141fe32dd622c80b67e58706f

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