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Paper Citation Record · LEDGER

UL2: Unifying Language Learning Paradigms

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 36 inbound Pith citation observations for arXiv:2205.05131.

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

pith.paper-citation-record.v1
2205.05131 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 36 of 36 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:38:28.033474Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

98
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4a19e859-5bdb-4df3-a2bd-6c0536fb55b7 · inbound

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models cites this paper.

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models UL2: Unifying Language Learning Paradigms

Reference 67

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arxiv_id, observed 2026-05-10T12:54:44.786780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:54:44.636760Z digest=sha256:3e5f39a594e10ee9b5019ccf16c188f4d1c3ca421e4169c75458bd670d934144

Observation 0b227ba6-ef5a-4e11-8124-dfbec6ed900b · inbound

Emergent Abilities of Large Language Models cites this paper.

Emergent Abilities of Large Language Models UL2: Unifying Language Learning Paradigms

Reference 82

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arxiv_id, observed 2026-05-11T07:38:38.204027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-11T07:38:37.734402Z digest=sha256:33dbc87bf8fce1772f2b0da5611a832a4cd476d08d68f824a7b0a33989170f2d

Observation ad81cee7-47f5-4d64-a1b1-77ec1bfea5d2 · inbound

Efficient Training of Language Models to Fill in the Middle cites this paper.

Efficient Training of Language Models to Fill in the Middle UL2: Unifying Language Learning Paradigms

Reference 93

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arxiv_id, observed 2026-05-18T00:40:41.795334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-18T00:40:41.647820Z digest=sha256:b1709ec65cf3ba8e28fae13b65a6ff7fad4036cb3d7706db084022c0a8e3597a

Observation af60f494-015e-4d2c-873b-09721d548c1d · inbound

Efficient Training of Language Models to Fill in the Middle cites this paper.

Efficient Training of Language Models to Fill in the Middle UL2: Unifying Language Learning Paradigms

Reference 140

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arxiv_id, observed 2026-05-18T00:40:41.970264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-18T00:40:41.647820Z digest=sha256:ae280667d8b810d9c5a64c665e2751676d44331877c1157a886e8451f3ca0f33

Observation 4a0dd766-ef91-4a66-ad69-16caea522272 · inbound

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning cites this paper.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning UL2: Unifying Language Learning Paradigms

Reference 57

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arxiv_id, observed 2026-05-24T09:14:16.537141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5b74f782-c692-4f63-a081-deb75117ed39 · inbound

BloombergGPT: A Large Language Model for Finance cites this paper.

BloombergGPT: A Large Language Model for Finance UL2: Unifying Language Learning Paradigms

Reference 116

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arxiv_id, observed 2026-05-13T23:19:46.837226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-13T23:19:46.231145Z digest=sha256:c070ea4b7836f1b88bea24e119d2fd1f5a88d3d0085358854083c6add909bd5b

Observation fba10308-6085-4da4-82c6-7009dd31fcb9 · inbound

StarCoder: may the source be with you! cites this paper.

StarCoder: may the source be with you! UL2: Unifying Language Learning Paradigms

Reference 214

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arxiv_id, observed 2026-05-10T23:33:00.944129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T23:32:59.517389Z digest=sha256:bce64b143b96cc785c842cc3722baf10614c0790bcb2c4c3e693ed6205f49be9

Observation d203f2df-c3bd-4d66-b234-ccc72af7a1ee · inbound

CodeT5+: Open Code Large Language Models for Code Understanding and Generation cites this paper.

CodeT5+: Open Code Large Language Models for Code Understanding and Generation UL2: Unifying Language Learning Paradigms

Reference 28

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arxiv_id, observed 2026-05-19T05:26:57.582577Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T05:26:57.440959Z digest=sha256:a0540c1c99d7dcbe06edd6d6825e3a69956262bdc4e27593bb9e48acab6b69eb

Observation 00fa4a80-ea07-4633-b7dc-c32229c7a123 · inbound

Scaling Data-Constrained Language Models cites this paper.

Scaling Data-Constrained Language Models UL2: Unifying Language Learning Paradigms

Reference 114

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arxiv_id, observed 2026-05-18T01:35:21.401327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T01:35:21.150772Z digest=sha256:6dc53880ee0d8744e13c3b88b8c0923a943df0595fdf404e33251e0fec64d168

Observation b43b9d01-a559-4294-ac72-8b532908010d · inbound

Large Language Models: A Survey cites this paper.

Large Language Models: A Survey UL2: Unifying Language Learning Paradigms

Reference 92

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arxiv_id, observed 2026-05-11T15:22:55.309227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T15:22:54.023279Z digest=sha256:8559e9147f037aebcd0ee51d322b1fde7da2893015da387af88e7cbc378e17b0

Observation dc013a63-e696-4e72-826e-797e8444a984 · inbound

Better & Faster Large Language Models via Multi-token Prediction cites this paper.

Better & Faster Large Language Models via Multi-token Prediction UL2: Unifying Language Learning Paradigms

Reference 14

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arxiv_id, observed 2026-05-16T12:26:09.839678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T12:26:09.731664Z digest=sha256:7435c7975c653ee0c00202a743fe29fa34a8283ba30d5b5a5e859b2e81bdf6a4

Observation f1062967-4a22-4856-b582-4dab59e1dc67 · inbound

Movie Gen: A Cast of Media Foundation Models cites this paper.

Movie Gen: A Cast of Media Foundation Models UL2: Unifying Language Learning Paradigms

Reference 65

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arxiv_id, observed 2026-05-11T14:16:25.979094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T14:16:18.521699Z digest=sha256:9f11ff0d683a585c5fccee4a6edc9e0f8eac163f19a99730a1eae289251d4b6f

Observation f28a6a49-c680-4ce6-923d-262e2a60e571 · inbound

Open-Sora: Democratizing Efficient Video Production for All cites this paper.

Open-Sora: Democratizing Efficient Video Production for All UL2: Unifying Language Learning Paradigms

Reference 30

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arxiv_id, observed 2026-05-11T12:01:51.668806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T12:01:51.366667Z digest=sha256:4ae140dccafcce684c523680790ef755fdead3a0d1ae6bc7c03ab248b6ab7ad9

Observation c19c6b60-fe5f-41c4-9879-21d4ce68723f · inbound

Return of the Encoder: Maximizing Parameter Efficiency for SLMs cites this paper.

Return of the Encoder: Maximizing Parameter Efficiency for SLMs UL2: Unifying Language Learning Paradigms

Reference 22

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no resolver link, observed 2026-08-10T13:38:28.033474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:38:28.033474Z digest=sha256:c216c27e4576907eb3c99a8dd6ce72c4503381f2feecbddd7fe8ea056390981a

Observation b1b0f01c-7880-4fb2-957d-e53ff84d6f29 · inbound

Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression cites this paper.

Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression UL2: Unifying Language Learning Paradigms

Reference 4

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verified exact
arxiv_id, observed 2026-05-23T04:17:31.271731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 1727dd0f-d530-4044-8fe9-fed7c92c0a7f · inbound

VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models cites this paper.

VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models UL2: Unifying Language Learning Paradigms

Reference 50

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no resolver link, observed 2026-08-09T12:04:47.336723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1085bb91-28bc-4be5-bedf-0df833ea6a79 · inbound

Don't Just Demo, Teach Me the Principles: A Principle-Based Multi-Agent Prompting Strategy for Text Classification cites this paper.

Don't Just Demo, Teach Me the Principles: A Principle-Based Multi-Agent Prompting Strategy for Text Classification UL2: Unifying Language Learning Paradigms

Reference 12

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Unavailable: canonical work link unavailable.

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Observation 9b380f29-679d-44b8-a44f-d9d4e03af487 · inbound

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? cites this paper.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? UL2: Unifying Language Learning Paradigms

Reference 46

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Unavailable: canonical work link unavailable.

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Observation 89ced217-e599-4f31-b2b3-12fc8160116b · inbound

Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts cites this paper.

Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts UL2: Unifying Language Learning Paradigms

Reference 53

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no resolver link, observed 2026-08-09T11:21:20.577638Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:21:20.577638Z digest=sha256:1d8f6827bbc70200319d9840e97ef7f958c9e569c981328398ff602af384e451

Observation 3266e597-4108-4216-911f-0a1331347839 · inbound

GEVRM: Goal-Expressive Video Generation Model For Robust Visual Manipulation cites this paper.

GEVRM: Goal-Expressive Video Generation Model For Robust Visual Manipulation UL2: Unifying Language Learning Paradigms

Reference 20

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no resolver link, observed 2026-08-07T22:10:13.406375Z

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Observation 59689c2a-16ec-4b75-ac8c-4313ab5dbf0a · inbound

MixLLM: Dynamic Routing in Mixed Large Language Models cites this paper.

MixLLM: Dynamic Routing in Mixed Large Language Models UL2: Unifying Language Learning Paradigms

Reference 2022

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no resolver link, observed 2026-08-08T18:11:31.761021Z

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source=pdf_text observed=2026-08-08T18:11:31.761021Z digest=sha256:1424be82de852bc14bd27e19cd02845ff96e87a8c9462436b9d61a3eed9801ef

Observation 9f5b6328-35fb-47f7-b67c-3ccee3ab4dc0 · inbound

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation cites this paper.

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation UL2: Unifying Language Learning Paradigms

Reference 50

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no resolver link, observed 2026-08-07T12:38:45.070721Z

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source=pdf_text observed=2026-08-07T12:38:45.070721Z digest=sha256:aee848b79fa7595656f8a3a836ae67657a5261dbd1b8db3d395b6f7315f29342

Observation 43c2310f-62af-45cf-887d-0ebc8d2c4e47 · inbound

Overview of the ClinIQLink 2025 Shared Task on Medical Question-Answering cites this paper.

Overview of the ClinIQLink 2025 Shared Task on Medical Question-Answering UL2: Unifying Language Learning Paradigms

Reference 20

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no resolver link, observed 2026-08-06T23:55:38.944265Z

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Unavailable: canonical work link unavailable.

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Observation 85007844-9cbf-4aef-a2f7-33d2c891fb3d · inbound

Transition Matching: Scalable and Flexible Generative Modeling cites this paper.

Transition Matching: Scalable and Flexible Generative Modeling UL2: Unifying Language Learning Paradigms

Reference 43

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no resolver link, observed 2026-08-06T21:46:29.401578Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:46:29.401578Z digest=sha256:e9ab222d74837456c205aa04638c58d7bef649aa06d4e18d4679afad5c6697e0

Observation 4d6b4ed2-1c92-4488-b1ec-a1dd95fee2c0 · inbound

Populate-A-Scene: Affordance-Aware Human Video Generation cites this paper.

Populate-A-Scene: Affordance-Aware Human Video Generation UL2: Unifying Language Learning Paradigms

Reference 21

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no resolver link, observed 2026-08-06T21:23:12.745181Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:12.745181Z digest=sha256:6540a51e4a7a838b26d84bdd6d957b1b33cfa12c27c22b4f88f91e07b429ad4e

Observation 2922bb03-62a3-480a-8e9f-d66aababe661 · inbound

A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction cites this paper.

A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction UL2: Unifying Language Learning Paradigms

Reference 214

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no resolver link, observed 2026-08-06T13:54:40.329735Z

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source=pdf_text observed=2026-08-06T13:54:40.329735Z digest=sha256:8885bd9dd7d4b351067174ede159dc15926d6b11bc274cd69ccb2edd08a92394

Observation c38f008b-8655-44dd-8cde-31e8c83feac0 · inbound

EmbeddingGemma: Powerful and Lightweight Text Representations cites this paper.

EmbeddingGemma: Powerful and Lightweight Text Representations UL2: Unifying Language Learning Paradigms

Reference 23

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arxiv_id, observed 2026-05-15T12:07:21.085545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T12:07:20.946370Z digest=sha256:946ac8d462f7ba820a03d432714dea10ad9ed48013f61f7bb4997dd566bc9844

Observation 42da1daa-aedc-4ae5-a7f7-1d8a4322e9ad · inbound

Not All Tokens Matter: Data-Centric Optimization for Efficient Code Summarization cites this paper.

Not All Tokens Matter: Data-Centric Optimization for Efficient Code Summarization UL2: Unifying Language Learning Paradigms

Reference 56

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no resolver link, observed 2026-08-03T07:34:22.008543Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:34:22.008543Z digest=sha256:8447c500ffef031f2bc36fc1a1ef9dfb1936d79ef954c374ba161ef1a70fb463

Observation a6fac216-a3b6-497c-9975-f42824c5d6e3 · inbound

S^2tory: Story Spine Distillation for Movie Script Summarization cites this paper.

S^2tory: Story Spine Distillation for Movie Script Summarization UL2: Unifying Language Learning Paradigms

Reference 22

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arxiv_id, observed 2026-05-12T10:51:30.435819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T16:58:39.803899Z digest=sha256:9047575d74a7979382947377fa3c2a1972af5b39a8358af2d7e425dabf38cbf5

Observation a8277b47-7581-45d5-8787-337b3cc447e5 · inbound

Leveraging Pretrained Language Models as Energy Functions for Glauber Dynamics Text Diffusion cites this paper.

Leveraging Pretrained Language Models as Energy Functions for Glauber Dynamics Text Diffusion UL2: Unifying Language Learning Paradigms

Reference 120

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arxiv_id, observed 2026-05-09T06:55:41.364952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-08T17:59:38.981808Z digest=sha256:0a8066488b52abb254325dcc820ecd784699bcf834dd263452473c6111415896

Observation fcee36b1-0688-4876-9c2b-56469781c11f · inbound

MedThink: Enhancing Diagnostic Accuracy in Small Models via Teacher-Guided Reasoning Correction cites this paper.

MedThink: Enhancing Diagnostic Accuracy in Small Models via Teacher-Guided Reasoning Correction UL2: Unifying Language Learning Paradigms

Reference 14

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arxiv_id, observed 2026-05-12T08:01:31.915750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c3095e6d-c43b-45f4-b1e6-2920be65ef59 · inbound

Large Language Model Selection with Limited Annotations cites this paper.

Large Language Model Selection with Limited Annotations UL2: Unifying Language Learning Paradigms

Reference 107

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metadata mismatch
arxiv_id, observed 2026-06-30T12:14:38.945348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T12:13:26.167487Z digest=sha256:890a7748ce79fbc77607fd949af1bcf0c710a7b644950765337888888741d31e

Observation 8646614b-42a4-4aa6-a07b-eb82d5386eda · inbound

UniMaia: Steering Chess Policies with Language for Human-like Play cites this paper.

UniMaia: Steering Chess Policies with Language for Human-like Play UL2: Unifying Language Learning Paradigms

Reference 2

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arxiv_id, observed 2026-06-29T17:53:47.368600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T17:47:41.044189Z digest=sha256:1c6be9f0935e18ec8c92f0bac388fed0e23bbef8515b6e982a869f7f6089d21e

Observation 7bbc3ccb-c545-45c1-8c1e-d0f71f0a5f9e · inbound

Demystifying Training-Time Augmentation for Data-Constrained Language Model Pretraining cites this paper.

Demystifying Training-Time Augmentation for Data-Constrained Language Model Pretraining UL2: Unifying Language Learning Paradigms

Reference 8

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arxiv_id, observed 2026-07-03T17:38:44.252689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T03:55:42.948380Z digest=sha256:e5d158788c372375547f4be32be959690e761c34d51c598579f31216c6362243

Observation 814370bc-3da4-4b64-864b-046f83c6bae2 · inbound

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning cites this paper.

Sentence Splitter: Uncovering Latent Factual Structure for Self-Supervised Learning UL2: Unifying Language Learning Paradigms

Reference 16

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no resolver link, observed 2026-08-01T11:35:15.542008Z

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Unavailable: canonical work link unavailable.

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Observation eafb73b0-1662-4507-8e8d-942791d59370 · inbound

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models cites this paper.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models UL2: Unifying Language Learning Paradigms

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