Paper Citation Record · LEDGER

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe

As of 11 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.25292.

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

pith.paper-citation-record.v1
2607.25292 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:56:00.935580Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

36 of 36 outbound references displayed

verified exact0
verified fuzzy0
unresolved36
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8ec7b5cc-e3f3-45b1-90cd-087b8cc81264 · outbound

This paper cites and Busby, Ethan C.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe and Busby, Ethan C

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:57.379133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c24fb705-5664-439f-b7e6-d1af71a4cfd6 · outbound

This paper cites , title =.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe , title =

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:57.561290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcb49021-988c-47e7-8f63-04fcaa5cc9ba · outbound

This paper cites LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:57.725670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e314f0c-85a6-4b72-8659-a8c6eaf8071f · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning (ICML) , year =.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Proceedings of the 40th International Conference on Machine Learning (ICML) , year =

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:57.883962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cb78a16-cb0e-453f-a5ef-f6fc5c5ecf92 · outbound

This paper cites and Arriaga, Rosa I.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe and Arriaga, Rosa I

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:57.957023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6d3eb2f-edab-474a-a688-52d828ac17cb · outbound

This paper cites and Filippas, Apostolos and Manning, Benjamin S.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe and Filippas, Apostolos and Manning, Benjamin S

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:58.075397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04c52b5d-503c-4852-b7e2-411c3c0f2c35 · outbound

This paper cites The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:58.149738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8bf166d-0f74-4f50-bee2-f83dbbeddfc9 · outbound

This paper cites and Dorff, Cassy and Kenkel, Brenton and Larson, Jennifer M.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe and Dorff, Cassy and Kenkel, Brenton and Larson, Jennifer M

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:58.218596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30560fdd-0bce-4262-885b-1625a2e059ee · outbound

This paper cites Machine bias:.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Machine bias:

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:58.322177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78f57896-0a9b-4530-b412-5f83e5b715f0 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume =.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Transactions of the Association for Computational Linguistics , volume =

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:58.391024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5c26366-5e75-4ddd-b2c4-672af617bc0b · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:58.493003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 829d54dd-9c61-4fe0-907e-dea0b0ffe03f · outbound

This paper cites Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) , year =.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) , year =

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:58.593809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c5e35ba-f5f9-4191-b285-4dea8a62a6f1 · outbound

This paper cites Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) , pages =.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) , pages =

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:58.692600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b09dcef2-c22a-44e8-bc89-fae93d53585d · outbound

This paper cites Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:58.792066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 036ee45f-be44-4d92-a965-f6301fcb5c70 · outbound

This paper cites Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:58.883321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b5d6127-cc54-41b1-8cc9-ef663ceb79bf · outbound

This paper cites Proceedings of the 12th International Conference on Learning Representations (ICLR) , year =.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Proceedings of the 12th International Conference on Learning Representations (ICLR) , year =

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:58.985735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dd0f8df-e153-4282-ae1c-bfb096339b4e · outbound

This paper cites an unresolved cited work.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:59.091295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc2ba16a-516d-4e71-82da-78485ec90c9d · outbound

This paper cites , title =.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe , title =

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:59.188117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9487d5c-9237-48c9-852c-ee2990a4d862 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Constitutional AI: Harmlessness from AI Feedback

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:59.288505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35a01aed-144f-488a-b5d9-b28f2e103f3a · outbound

This paper cites Improving alignment of dialogue agents via targeted human judgements , journal =.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Improving alignment of dialogue agents via targeted human judgements , journal =

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:59.391063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1b04fda-b75e-449d-9ba4-4f29aef71991 · outbound

This paper cites Proceedings of the 8th International Conference on Learning Representations (ICLR) , year =.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Proceedings of the 8th International Conference on Learning Representations (ICLR) , year =

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:59.490928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4efccb3e-31a1-4bb9-b16f-d8a0c2de3287 · outbound

This paper cites Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:59.590634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eac73f49-ffd2-4d06-b904-ca395eb56130 · outbound

This paper cites and Blank, Idan A.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe and Blank, Idan A

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:59.692779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f038b5aa-d9f7-4ee9-b775-78411ca4174b · outbound

This paper cites Language Models (Mostly) Know What They Know.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Language Models (Mostly) Know What They Know

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:59.791873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 949c768a-3467-4a3e-8084-9d6e9c5cbaaa · outbound

This paper cites Transactions on Machine Learning Research , year =.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Transactions on Machine Learning Research , year =

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:59.890053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b42eeed-d89a-449c-b237-34ac2bc55cc1 · outbound

This paper cites Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical Distributions.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical Distributions

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T02:55:59.988999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68b412ac-6de9-4dba-b8f0-1883b056dbca · outbound

This paper cites and Khashabi, Daniel and Hajishirzi, Hannaneh , title =.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe and Khashabi, Daniel and Hajishirzi, Hannaneh , title =

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T02:56:00.088333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84741254-bf83-4392-ae0e-5b697dd9f967 · outbound

This paper cites Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T02:56:00.163149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32bc941b-a953-4fad-9d79-658c11a2f6ab · outbound

This paper cites and Choi, Yejin , title =.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe and Choi, Yejin , title =

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T02:56:00.229484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0620d0b9-801b-444f-a664-7115c9f3c4db · outbound

This paper cites Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T02:56:00.301466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b60c6703-71f4-44f6-9d1f-6dd2681a35e1 · outbound

This paper cites an unresolved cited work.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T02:56:00.386109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62d960a9-4733-45a9-bfdc-450b5a4a5e7e · outbound

This paper cites and Zhou, Denny , title =.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe and Zhou, Denny , title =

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T02:56:00.494740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba303404-7d2f-4d4e-b08a-19d18600892b · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , volume =.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Advances in Neural Information Processing Systems (NeurIPS) , volume =

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T02:56:00.596096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83c07c6a-3fc0-490c-9dec-7d5622dc6cf6 · outbound

This paper cites Proceedings of the 10th International Conference on Learning Representations (ICLR) , year =.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Proceedings of the 10th International Conference on Learning Representations (ICLR) , year =

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T02:56:00.698592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8196e61-03bc-4a38-b8d0-dc4de728adfa · outbound

This paper cites Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages =.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages =

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T02:56:00.791859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06ac6fef-ee1f-450a-8212-ec68ed874d76 · outbound

This paper cites and Morris, Meredith Ringel and Liang, Percy and Bernstein, Michael S.

Instruction-Tuned Language Models Cannot Sample from Distributions They Can Describe and Morris, Meredith Ringel and Liang, Percy and Bernstein, Michael S

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T02:56:00.935580Z

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Pith citing papers

No inbound Pith citation observations are available.