Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-14T06:32:32.682623+00:00.

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

Resolution: 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 2026-08-14T06:32:32.682623+00:00.

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

Resolution: unresolved; 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 2026-08-14T06:32:32.682623+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-14T06:32:32.682623+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-14T06:32:32.682623+00:00.

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

Resolution: 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 2026-08-14T06:32:32.682623+00:00.

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

Resolution: 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 2026-08-14T06:32:32.682623+00:00.

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

Resolution: 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 2026-08-14T06:32:32.682623+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-14T06:32:32.682623+00:00.

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 2026-08-14T06:32:32.682623+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-14T06:32:32.682623+00:00.