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Paper Citation Record · LEDGER

Forcing Diffuse Distributions out of Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2404.10859.

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

pith.paper-citation-record.v1
2404.10859 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:51.497794Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
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 a968fa03-4418-4d37-b2b9-01502d7505b6 · inbound

B-score: Detecting biases in large language models using response history cites this paper.

B-score: Detecting biases in large language models using response history Forcing Diffuse Distributions out of Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:51.497794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:51.497794Z digest=sha256:f22f51f5c7a659bf97f63f2b334b10fa5e99548d221ad55dfb8e3ca213694b57

Observation e6ba05f8-b623-40b5-8f87-7a9f00bcbce9 · inbound

Who Gets the Kidney? Human-AI Alignment, Indecision, and Moral Values cites this paper.

Who Gets the Kidney? Human-AI Alignment, Indecision, and Moral Values Forcing Diffuse Distributions out of Language Models

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-19T14:13:05.821212Z

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=pdf_text observed=2026-05-19T14:12:42.610994Z digest=sha256:3e1961484c9e5f0c7f7fda2b22e69eba4704729059905b4e0467943ec6da1903

Observation 4856dc1a-d6fd-48dd-96a6-49f0fdeaa02a · inbound

Who Gets the Kidney? Human-AI Alignment, Indecision, and Moral Values cites this paper.

Who Gets the Kidney? Human-AI Alignment, Indecision, and Moral Values Forcing Diffuse Distributions out of Language Models

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-19T14:13:05.866419Z

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=pdf_text observed=2026-05-19T14:12:42.610994Z digest=sha256:d09f26ec2a531a4b86232c0d7e0881dddc0b533a699b136b511cb9237d33a3b2

Observation db368bf3-22c8-401f-b634-de41099e2368 · inbound

Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future cites this paper.

Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future Forcing Diffuse Distributions out of Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T23:06:49.736635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:06:49.736635Z digest=sha256:7d03228d9213ede2e89178f9b8bbf3c2dd8b31c2227cb9720a8f89d55d0da48e

Observation 57f74805-85f5-41e1-a581-74370717f587 · inbound

Distilled Pretraining: A modern lens of Data, In-Context Learning and Test-Time Scaling cites this paper.

Distilled Pretraining: A modern lens of Data, In-Context Learning and Test-Time Scaling Forcing Diffuse Distributions out of Language Models

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-05T12:25:28.508547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:25:28.508547Z digest=sha256:401b8af1f9fab0d3682b15ead6e735d0e5212e339206280b93d31ec08053d945

Observation 91ace576-5d19-4ec5-9ab5-47c40398d5b9 · inbound

Beyond One Output: Visualizing and Comparing Distributions of Language Model Generations cites this paper.

Beyond One Output: Visualizing and Comparing Distributions of Language Model Generations Forcing Diffuse Distributions out of Language Models

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-10T04:09:57.105529Z

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=pdf_text observed=2026-05-10T04:05:37.447023Z digest=sha256:a660bde06a4c09b490a01b8d393d7345af761b8d014fdbcbc183f1dfc5f2cd5d

Observation d6c4ce4c-afe9-4050-9c7b-928e1e3d7c28 · inbound

Beyond One Output: Visualizing and Comparing Distributions of Language Model Generations cites this paper.

Beyond One Output: Visualizing and Comparing Distributions of Language Model Generations Forcing Diffuse Distributions out of Language Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-04T05:28:01.463057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:28:01.463057Z digest=sha256:3056bff02d15223a51f3ccac17d0f84884bf7de6d67857ffc55640045d9a7cd2

Observation 0efb7e35-540d-4765-be62-f1295efaa77d · inbound

Annotations Mitigate Post-Training Mode Collapse cites this paper.

Annotations Mitigate Post-Training Mode Collapse Forcing Diffuse Distributions out of Language Models

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:46:51.341849Z

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=2026-05-12T03:58:11.179607Z digest=sha256:d761f437f97382a40e61b0d660227c93a42100680fd4c1c7f2c84c34da0308ce

Observation 801f9031-c95f-4b48-a98b-866174083a30 · inbound

When the Next Step Is Not One Step: Distribution-Aware Execution Modeling for Concurrent Go Programs cites this paper.

When the Next Step Is Not One Step: Distribution-Aware Execution Modeling for Concurrent Go Programs Forcing Diffuse Distributions out of Language Models

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T19:28:52.554972Z

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=pdf_text observed=2026-06-27T01:46:26.710706Z digest=sha256:16748b24581de4958339ae0a5ca9fb6a5d3845150b67e4e5db9d7c4c1b9c5889

Observation f22a2529-ac87-4bf7-ae46-56cf0ab0ebdb · inbound

Improving LLMs via Validator-to-Generator Alignment cites this paper.

Improving LLMs via Validator-to-Generator Alignment Forcing Diffuse Distributions out of Language Models

Reference 97

Resolution
unresolved
no resolver link, observed 2026-07-12T07:52:00.900202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T07:52:00.900202Z digest=sha256:87d4be33b032f0127e3377decbc2740d16573e915a9c6b2717599437ecc434b7

Observation 98ad1e16-52fa-4778-97ad-dcdcd458fabf · inbound

The One-Word Census: Answer-Choice Conformity Across 44 Language Models cites this paper.

The One-Word Census: Answer-Choice Conformity Across 44 Language Models Forcing Diffuse Distributions out of Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-02T06:23:48.895807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:23:48.895807Z digest=sha256:0d1c99d54775c56fcb75c7d593cf660ed7848dc0015a63f29b51eb82d711da68