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Paper Citation Record · LEDGER

On the Use of ArXiv as a Dataset

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:1905.00075.

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

pith.paper-citation-record.v1
1905.00075 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:30:41.985318Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T16:14:53.366075Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3b581fda-6052-4ba1-9afe-886c8303d781 · inbound

Scientific Statement Classification over arXiv.org cites this paper.

Scientific Statement Classification over arXiv.org On the Use of ArXiv as a Dataset

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-14T10:30:41.985318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:30:41.985318Z digest=sha256:7350ceadd1346e9d3ce9eb428e87244fb59dbaa1fbff90f3e629ee230dfc7e23

Observation 5aa7e396-9f46-4086-a82c-298e85d552d7 · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models On the Use of ArXiv as a Dataset

Reference 174

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:46:39.688334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:926e6714f575b3871eedb1fc8fdafe799804d758d9a0fc824d883943a4533e38

Observation 1d069b1b-f0c9-495a-8c1c-f34ab889b51f · inbound

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models cites this paper.

LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models On the Use of ArXiv as a Dataset

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T18:45:47.314293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T18:45:47.314293Z digest=sha256:41f00b9a133223a1d50c12b51f02738f9906e769500d9adf9652d686ef20b3f9

Observation d8837355-74bc-4a4b-ac07-af58773e0d25 · inbound

NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers? cites this paper.

NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers? On the Use of ArXiv as a Dataset

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T00:03:53.667998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:03:53.667998Z digest=sha256:76a92131bd2c59adda76c16b30dd3b2148c8f5cf4e6ed696ca16d9729597a840

Observation 615c6b4e-d676-4250-acaf-47a579807328 · inbound

Hush! Protecting Secrets During Model Training: An Indistinguishability Approach cites this paper.

Hush! Protecting Secrets During Model Training: An Indistinguishability Approach On the Use of ArXiv as a Dataset

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T12:23:16.040012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:23:16.040012Z digest=sha256:399b7f0967815a2e0139cceacfad339ae66d0d15d53e8e818e693b690668a708

Observation 955b60a7-9b8d-4e63-8237-b4bf761db577 · inbound

Modular versus Hierarchical: A Structural Signature of Topic Popularity in Mathematical Research cites this paper.

Modular versus Hierarchical: A Structural Signature of Topic Popularity in Mathematical Research On the Use of ArXiv as a Dataset

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T22:01:20.714838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:01:20.714838Z digest=sha256:a01ec05cabd23bc20de7667420081f1fbfdb5d52b6e9871029b504ead2f245de

Observation 7557cc23-80e5-42a1-a5cd-49651c845cac · inbound

Spectra 1.1: Scaling Laws and Efficient Inference for Ternary Language Models cites this paper.

Spectra 1.1: Scaling Laws and Efficient Inference for Ternary Language Models On the Use of ArXiv as a Dataset

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T21:58:32.454216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:58:32.454216Z digest=sha256:23a4fa1bd2b0917584f4b443d0730402a7bf5e81d6302d0d4592e0ba6c1fa13c

Observation a081d3e3-d084-4854-b1c2-170057c786fb · inbound

Scaling Attention to Very Long Sequences in Linear Time with Wavelet-Enhanced Random Spectral Attention (WERSA) cites this paper.

Scaling Attention to Very Long Sequences in Linear Time with Wavelet-Enhanced Random Spectral Attention (WERSA) On the Use of ArXiv as a Dataset

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:59.002779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:59.002779Z digest=sha256:034e273fd52afe66326f3b46a8ad79a5125e52ccfdc825b923c675206cee1d72

Observation 8a581080-5f06-464e-8bc9-86747fee2d04 · inbound

Exploiting Leaderboards for Large-Scale Distribution of Malicious Models cites this paper.

Exploiting Leaderboards for Large-Scale Distribution of Malicious Models On the Use of ArXiv as a Dataset

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T18:16:08.090928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:16:08.090928Z digest=sha256:b05601e84369a6e21bdd0877a1021b4d285dbcee2c09f0ee646722af90033f8f

Observation 63feb148-9832-4012-8f81-15c3e3999076 · inbound

Optimal Empirical Risk Minimization under Temporal Distribution Shifts cites this paper.

Optimal Empirical Risk Minimization under Temporal Distribution Shifts On the Use of ArXiv as a Dataset

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T16:38:50.213488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:38:50.213488Z digest=sha256:fced96c204bb8b7566cfaf6461bbcb0db4cc37f5db7f82e57c148feb3f9f5f77

Observation 329b9ed4-eaea-42a4-a5f0-844e7f701574 · inbound

Beyond Easy Wins: A Text Hardness-Aware Benchmark for LLM-generated Text Detection cites this paper.

Beyond Easy Wins: A Text Hardness-Aware Benchmark for LLM-generated Text Detection On the Use of ArXiv as a Dataset

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:48.800708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:42:48.800708Z digest=sha256:64824058533cc25795c040a7ff511d75f4cc6f8ea1601031ca06811500991088

Observation 44666499-f393-476f-b925-4c737d5f6c81 · inbound

Stacked from One: Multi-Scale Self-Injection for Context Window Extension cites this paper.

Stacked from One: Multi-Scale Self-Injection for Context Window Extension On the Use of ArXiv as a Dataset

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-15T17:00:10.322448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T16:57:09.401220Z digest=sha256:ed4eddc4ded0f8f2d41eaa40d825ea1e35f83ca453f1857d7a2d40f3d9338316

Observation 947f420f-ae60-48aa-8d35-43647d20586d · inbound

Disentangling Similarity and Relatedness in Topic Models cites this paper.

Disentangling Similarity and Relatedness in Topic Models On the Use of ArXiv as a Dataset

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-03T02:36:50.888198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:36:50.888198Z digest=sha256:5b08a5cd1c7dff2b4bef48d96c47a098c5b899a510e4ceb63542b1ae2d1b9985

Observation 5c2e0636-f15a-413a-bd78-699bec70315e · inbound

Can We Still Hear the Accent? Investigating the Resilience of Native Language Signals in the LLM Era cites this paper.

Can We Still Hear the Accent? Investigating the Resilience of Native Language Signals in the LLM Era On the Use of ArXiv as a Dataset

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T08:59:53.071976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T08:57:47.322392Z digest=sha256:9be9b0783d822ec6369e34eda2fb5b00f35aafe51773d5d2ad1e4a546a47b2bc

Observation 8238f878-1bb6-497c-8306-469ae6fb5301 · inbound

Hidden Secrets in the arXiv: Discovering, Analyzing, and Preventing Unintentional Information Disclosure in Source Files of Scientific Preprints cites this paper.

Hidden Secrets in the arXiv: Discovering, Analyzing, and Preventing Unintentional Information Disclosure in Source Files of Scientific Preprints On the Use of ArXiv as a Dataset

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-10T00:54:49.110109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T00:41:13.517341Z digest=sha256:32e5a9917994e024a86a84e7a491b4c51f5efbccf3c20a3fb38c41bea23bf18b

Observation d328c1f4-6490-49b2-913e-6f76a26ac216 · inbound

PaperMind: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs cites this paper.

PaperMind: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs On the Use of ArXiv as a Dataset

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T14:41:54.765786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-09T21:09:26.626179Z digest=sha256:17200c298f695f66da93e0607bed87991c22522d5e0fd5b349a5b8f32ab69edc

Observation dafcd4dd-70c2-49ea-9f84-126424c273fb · inbound

A Recipe for Long-Context Reasoning in Large Language Models via On-Policy Optimization and Distillation cites this paper.

A Recipe for Long-Context Reasoning in Large Language Models via On-Policy Optimization and Distillation On the Use of ArXiv as a Dataset

Reference 63

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:32:19.444234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-13T05:29:00.576006Z digest=sha256:9fcb237e11a59af2a82bb225048ddc5d9efe863f6774e1ca33e1fd20a0dbb6c5

Observation f3c373a8-c9bd-45ba-a07d-9537f2e23e09 · inbound

ChartFI: Benchmarking Faithfulness and Insightfulness of Chart Descriptions from Multimodal Large Language Models cites this paper.

ChartFI: Benchmarking Faithfulness and Insightfulness of Chart Descriptions from Multimodal Large Language Models On the Use of ArXiv as a Dataset

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-25T04:15:20.085848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-25T04:13:11.756347Z digest=sha256:2257cbebac5b31e562a485951f61ebdd2c54968606ff0122682207cb45285a0f

Observation 0001fb02-2a47-4d9e-b71f-495d41e65238 · inbound

ChartFI: Benchmarking Faithfulness and Insightfulness of Chart Descriptions from Multimodal Large Language Models cites this paper.

ChartFI: Benchmarking Faithfulness and Insightfulness of Chart Descriptions from Multimodal Large Language Models On the Use of ArXiv as a Dataset

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-06-30T16:14:53.367404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T16:10:01.774725Z digest=sha256:5fc6282085d59e9c07fc901a0ed76aab7fd562cb826287ec5de20e3bd297ea56

Observation c2d45a22-85eb-4f59-81a7-4bd7ac89b7e9 · inbound

Topological measures in weighted hypergraphs cites this paper.

Topological measures in weighted hypergraphs On the Use of ArXiv as a Dataset

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-01T08:55:58.865074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:55:58.865074Z digest=sha256:6718a34c8e39ea17d4d7fa4153864c553ff8e6d614a271801b15ef3acab13bf3