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Paper Citation Record · LEDGER

Low-Perplexity LLM-Generated Sequences and Where To Find Them

As of 7 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2507.01844.

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

pith.paper-citation-record.v1
2507.01844 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:45:00.173986Z

measured 34 of 34 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T08:45:34.884703Z

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

33 of 33 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 51b403c7-6d28-4957-b3ac-d59765bdf76f · outbound

This paper cites an unresolved cited work.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Unresolved cited work

Reference 1

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unresolved
no resolver link, observed 2026-08-06T20:44:58.025625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:44:58.025625Z digest=sha256:1caae2fb4abea0bc33773a388196f716417f9da8599845221c8cf81038f488b8

Observation 24484fa7-9b4f-4b78-bc01-5b86c16aa212 · outbound

This paper cites an unresolved cited work.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Unresolved cited work

Reference 2

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unresolved
no resolver link, observed 2026-08-06T20:44:58.073565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:44:58.073565Z digest=sha256:b6e57ed435f25f9b4a2e5e61a1fcb33f3c564707fd80b3858c425dda64def3df

Observation 8b327d3c-1fc7-484e-9c83-81bd9415ff2a · outbound

This paper cites Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell

Reference 3

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no resolver link, observed 2026-08-06T20:44:58.155292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:44:58.155292Z digest=sha256:08608b8889320a97f589eaf9fcba686bf106e2be266ae8b08993a580d8f510a5

Observation 966c1ac4-925d-4b11-8ec2-db3cfd018957 · outbound

This paper cites Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Reference 4

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no resolver link, observed 2026-08-06T20:44:58.251315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:44:58.251315Z digest=sha256:01c61688ea5508f74293af274ad7fc232e5993df776048c9d6967b78383fb240

Observation 6f99a202-2bd1-4c49-ad14-2f76ec2a9979 · outbound

This paper cites What Does it Mean for a Language Model to Preserve Privacy?.

Low-Perplexity LLM-Generated Sequences and Where To Find Them What Does it Mean for a Language Model to Preserve Privacy?

Reference 5

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unresolved
no resolver link, observed 2026-08-06T20:44:58.365890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:44:58.365890Z digest=sha256:a505063eb4179f3d4217e13603639055d6e1a1e6a94f10216bdf11162946cf40

Observation 8599e8aa-c273-4281-a66d-4d1892b0cef0 · outbound

This paper cites Extracting Training Data from Diffusion Models.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Extracting Training Data from Diffusion Models

Reference 6

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unresolved
no resolver link, observed 2026-08-06T20:44:58.456000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:44:58.456000Z digest=sha256:4cff4f3a04c83acca5d0636b8cee152784ded45b4cd457422435ed6ef6aaa5fd

Observation 0f8dce1f-87e6-4937-911e-ec8735d5e337 · outbound

This paper cites Quantifying Memorization Across Neural Language Models.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Quantifying Memorization Across Neural Language Models

Reference 7

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unresolved
no resolver link, observed 2026-08-06T20:44:58.519888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:44:58.519888Z digest=sha256:58b22ae9d6a283a3f843deb904d4e1eba03605edcb3cf1a841f9ac430173411a

Observation 42bf4c06-3c92-4a00-9aa0-b9d9be79d119 · outbound

This paper cites Extracting Training Data from Large Language Models.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Extracting Training Data from Large Language Models

Reference 8

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unresolved
no resolver link, observed 2026-08-06T20:44:58.634485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:44:58.634485Z digest=sha256:02981a16ec4b40e16db0f8947474475a20653be16e912fb5e317c183706a43b8

Observation af75a24d-8d52-444d-9c50-b0b3bcc1b0ce · outbound

This paper cites Scalable Influence and Fact Tracing for Large Language Model Pretraining.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Scalable Influence and Fact Tracing for Large Language Model Pretraining

Reference 9

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unresolved
no resolver link, observed 2026-08-06T20:44:58.696347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:44:58.696347Z digest=sha256:54e769947da8369966ea716c596c45ea98675fd58cf95acdf9fc2a330a2ecea6

Observation 072b2966-32ea-463e-929d-0d58de64712e · outbound

This paper cites Training Data Attribution (TDA): Examining Its Adoption & Use Cases.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Training Data Attribution (TDA): Examining Its Adoption & Use Cases

Reference 10

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verified exact
local_arxiv, observed 2026-08-06T20:45:01.325930Z

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=2026-08-06T20:44:58.755787Z digest=sha256:5dacbfeaf8a199f22e693e09ec16da213a122c6881f8825cacd0a35b0414337a

Observation 55b79f73-2372-4ae2-9b4c-fdec4ea17bab · outbound

This paper cites SoftMatcha: A Soft and Fast Pattern Matcher for Billion-Scale Corpus Searches.

Low-Perplexity LLM-Generated Sequences and Where To Find Them SoftMatcha: A Soft and Fast Pattern Matcher for Billion-Scale Corpus Searches

Reference 11

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verified exact
local_arxiv, observed 2026-08-06T20:45:01.191436Z

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=2026-08-06T20:44:58.824509Z digest=sha256:6776294d93a62f8abcbaa47551d560dd51295f1dafaf35aa0ad09c5c04c489bd

Observation 01550e22-6b80-414b-b02b-6c15e2217b7a · outbound

This paper cites an unresolved cited work.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Unresolved cited work

Reference 12

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raw_fallback, observed 2026-08-06T20:45:02.326438Z

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=2026-08-06T20:44:58.861961Z digest=sha256:b5ca5bce2c2743795229ca3c9ef06310db4f7f7fb9f386a7fc139a80947db132

Observation cc95aa04-cdbd-4173-ac24-230369221090 · outbound

This paper cites Representation Degeneration Problem in Training Natural Language Generation Models.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Representation Degeneration Problem in Training Natural Language Generation Models

Reference 13

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no resolver link, observed 2026-08-06T20:44:58.954375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:44:58.954375Z digest=sha256:c733332a81d6a93ffb2f25f86123e15e84277cab0574837917119bff4dc1b698

Observation 67e195b7-8e71-4de6-bcbf-8171107eaf4b · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Low-Perplexity LLM-Generated Sequences and Where To Find Them The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 14

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unresolved
no resolver link, observed 2026-08-06T20:44:59.016964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:44:59.016964Z digest=sha256:36a8a29e086f6262b8e259667d2185a3b6ab92f692f338269c39246c07b67911

Observation c0996a94-20ab-416e-bf13-3c7d4809bebc · outbound

This paper cites Demystifying Prompts in Language Models via Perplexity Estimation.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Demystifying Prompts in Language Models via Perplexity Estimation

Reference 15

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no resolver link, observed 2026-08-06T20:44:59.061295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:44:59.061295Z digest=sha256:74d186d8591d3b2552dddabf9e55d2d5d99b49923dd535dedd3b27b78e4f6d3d

Observation 7ec3553f-673c-40f6-84d1-0fe8bdda4c09 · outbound

This paper cites an unresolved cited work.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Unresolved cited work

Reference 16

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verified exact
raw_fallback, observed 2026-08-06T20:45:01.018655Z

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=2026-08-06T20:44:59.140059Z digest=sha256:901b23b175166fa30593e2d89a5d4ad3683e5220a8d4310d2ab29406c4dd8215

Observation 539279d3-aa13-4cc1-ba59-4bc9d5537bae · outbound

This paper cites Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs

Reference 17

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no resolver link, observed 2026-08-06T20:44:59.195398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:44:59.195398Z digest=sha256:57555370e8f22722bcb9c3e89c45712922e7e1d5950c38ba7a40d0c1d4739536

Observation 01d06bae-a279-4213-9ead-e6d1741fb934 · outbound

This paper cites Generalization through Memorization: Nearest Neighbor Language Models.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Generalization through Memorization: Nearest Neighbor Language Models

Reference 18

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unresolved
no resolver link, observed 2026-08-06T20:44:59.255879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:44:59.255879Z digest=sha256:63daaebad5ee8f58dc3fb3b70fa65d8076f188cb2243b327922a1d3707e9a0d7

Observation e10875ad-cf06-4d55-8fe9-b063a61555a3 · outbound

This paper cites DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models.

Low-Perplexity LLM-Generated Sequences and Where To Find Them DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 19

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no resolver link, observed 2026-08-06T20:44:59.310269Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T20:44:59.310269Z digest=sha256:37335b8da750ec8378f419e8f09a0bcfba34b71238e83d5f77de178d9a3032f0

Observation c4b74278-e370-4671-9781-f051bf9b8c44 · outbound

This paper cites Mapping the Increasing Use of LLMs in Scientific Papers.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Mapping the Increasing Use of LLMs in Scientific Papers

Reference 20

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unresolved
no resolver link, observed 2026-08-06T20:44:59.345623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:44:59.345623Z digest=sha256:3195654f6e7d399efac122c98a2a1e215b70607fb97d3a1f9634f0248ad06db3

Observation e1db5eac-f82c-4a69-995b-cd52412fb470 · outbound

This paper cites OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens.

Low-Perplexity LLM-Generated Sequences and Where To Find Them OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens

Reference 21

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no resolver link, observed 2026-08-06T20:44:59.409853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:44:59.409853Z digest=sha256:422aee389f7c2e74cb18134c5c1070d7f96a10673c59833b39c35ad10ccabdd4

Observation ee3b7064-fe72-48c9-b803-6fd73b01a98c · outbound

This paper cites Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens

Reference 22

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unresolved
no resolver link, observed 2026-08-06T20:44:59.481034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:44:59.481034Z digest=sha256:9cd4b31dd8caeb064ca78b2eee75c2080d58d6406fdf648fdae540ed87a3280f

Observation 55ce468e-9bd8-49e1-875e-01dcd60701d1 · outbound

This paper cites Thomas McCoy, Paul Smolensky, Tal Linzen, Jianfeng Gao, and Asli Celikyilmaz.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Thomas McCoy, Paul Smolensky, Tal Linzen, Jianfeng Gao, and Asli Celikyilmaz

Reference 23

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unresolved
no resolver link, observed 2026-08-06T20:44:59.519257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:44:59.519257Z digest=sha256:1cc33ef4f726459bb3d5438c79c445e111b1344db3baed377bcf141b1a26d9e2

Observation 500dbf95-526a-46de-8fea-0ec71e8c9057 · outbound

This paper cites Evaluating $n$-Gram Novelty of Language Models Using Rusty-DAWG.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Evaluating $n$-Gram Novelty of Language Models Using Rusty-DAWG

Reference 24

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metadata mismatch
local_arxiv, observed 2026-08-06T20:45:00.713897Z

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=2026-08-06T20:44:59.627663Z digest=sha256:1ad6b5086ded386d7a9cc7edf31467d98bd2ab2e06dd20c731c871740b8c5b99

Observation 1019ea0b-ee08-415a-b7f8-deaf754ac373 · outbound

This paper cites an unresolved cited work.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Unresolved cited work

Reference 25

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unresolved
raw_fallback, observed 2026-08-06T20:45:02.147102Z

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=2026-08-06T20:44:59.704000Z digest=sha256:b38bdc0a1e55e672c921643cbe050d0ffb33ba6174a903f9c390ce4e32fead1a

Observation cd92811c-f919-49fe-88d2-556e89a72673 · outbound

This paper cites an unresolved cited work.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Unresolved cited work

Reference 26

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verified exact
doi, observed 2026-08-06T20:45:00.529647Z

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=2026-08-06T20:44:59.751794Z digest=sha256:dc87c38440f464d56a2de7183319a4f8fa051a5e6502fd16cd0242a707b66495

Observation fb2670fb-251f-4643-a19b-8209e231d720 · outbound

This paper cites an unresolved cited work.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Unresolved cited work

Reference 27

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unresolved
raw_fallback, observed 2026-08-06T20:45:01.986756Z

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=2026-08-06T20:44:59.810662Z digest=sha256:2ad70f50e31405857cf4fa7e69c5a944447894303aaade12f9175383ffa1533c

Observation 55615294-7618-4cc8-99fd-797ca2ee5c94 · outbound

This paper cites Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon

Reference 28

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unresolved
no resolver link, observed 2026-08-06T20:44:59.872516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:44:59.872516Z digest=sha256:f489045fc8d93a181ecc61fe270d07987eeacc0a40683e56eac31ff54a03a0bc

Observation f0ff39cb-a85f-4b95-9959-fd60bcb0f171 · outbound

This paper cites an unresolved cited work.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Unresolved cited work

Reference 29

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unresolved
raw_fallback, observed 2026-08-06T20:45:01.823190Z

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=2026-08-06T20:44:59.922068Z digest=sha256:74f02a8f024bced2d87d8e04abece2c2935a7de02a21704990d1b1c589ac76ab

Observation 01eae4a8-b2be-4c79-bd4a-05682bca33de · outbound

This paper cites an unresolved cited work.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Unresolved cited work

Reference 30

Resolution
verified exact
doi, observed 2026-08-06T20:45:00.346249Z

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=2026-08-06T20:45:00.023467Z digest=sha256:d11b6442e3fd1202a449cb9bdf0b5b685aa29f31b77f3f83ffda2b044c764634

Observation 6ef2ab5c-b1a4-45a8-8c78-ba1a9ce31865 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Low-Perplexity LLM-Generated Sequences and Where To Find Them Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 31

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no resolver link, observed 2026-08-06T20:45:00.081945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:45:00.081945Z digest=sha256:055ec0b4d8d076c4d9d99bc88829f7bfff88c5690a62a7c8497bed6f3cc18bec

Observation a3d5b301-875c-4723-a4eb-4be3bf341b28 · outbound

This paper cites online" 'onlinestring :=.

Low-Perplexity LLM-Generated Sequences and Where To Find Them online" 'onlinestring :=

Reference 32

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unresolved
no resolver link, observed 2026-08-06T20:45:00.130431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:45:00.130431Z digest=sha256:071f954fb33d41b934fd346063875fd1d339d725d3148bc239f1e9610d1283fd

Observation c040c111-0954-493c-9128-cd1324f79ac9 · outbound

This paper cites write newline.

Low-Perplexity LLM-Generated Sequences and Where To Find Them write newline

Reference 33

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unresolved
no resolver link, observed 2026-08-06T20:45:00.173986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:45:00.173986Z digest=sha256:248ddd115eab2cdb30251587b3e42415d2ca4b969e38cdbd90e33be2f9140925

Pith citing papers

Observation b7252066-ab5f-4491-9754-f8f2829ada97 · inbound

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior cites this paper.

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior Low-Perplexity LLM-Generated Sequences and Where To Find Them

Reference 72

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verified exact
arxiv_id, observed 2026-06-26T08:49:14.966710Z

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=2026-06-26T08:45:34.884703Z digest=sha256:8a4b9c1c9413373680fb862b6cd52cd9395802b77e81c18102a4bef0549b6cdd