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Paper Citation Record · LEDGER

A Reproducible, Scalable Pipeline for Synthesizing Autoregressive Model Literature

As of 7 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2508.04612.

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

pith.paper-citation-record.v1
2508.04612 v1

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:56:11.589823Z

measured 8 of 8 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 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

8 of 8 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 270602c5-baa0-443e-9757-4841c1e0457d · outbound

This paper cites Leakage and the Reproducibility Crisis in ML-based Science.

A Reproducible, Scalable Pipeline for Synthesizing Autoregressive Model Literature Leakage and the Reproducibility Crisis in ML-based Science

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T23:56:11.090753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:56:11.090753Z digest=sha256:820925c2ef6f23bb2ada88c0ef3bf887f6dd4b9596562e1bc82d385e6cb8c29f

Observation 65454081-365f-4780-b759-9bacf1b97c6f · outbound

This paper cites Ask, Retrieve, Summarize: A Modular Pipeline for Scientific Literature Summarization.

A Reproducible, Scalable Pipeline for Synthesizing Autoregressive Model Literature Ask, Retrieve, Summarize: A Modular Pipeline for Scientific Literature Summarization

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T23:56:11.805867Z

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=pdf_text observed=2026-08-05T23:56:11.485296Z digest=sha256:82acc01953aec91534744d649e9784c8d1bfe283687ce53240a0095335e199ae

Observation 7ad32a83-a80d-43a6-8437-98f9d84d545f · outbound

This paper cites OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs.

A Reproducible, Scalable Pipeline for Synthesizing Autoregressive Model Literature OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T23:56:11.589823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:56:11.589823Z digest=sha256:08408d189159ec32fdf5a597141f51c1e4bb2ebe9577f5c196d64c28dd40c260

Observation 19fb712a-b6ec-4b25-a2b2-3e06fb1181e8 · outbound

This paper cites Regularizing and Optimizing LSTM Language Models.

A Reproducible, Scalable Pipeline for Synthesizing Autoregressive Model Literature Regularizing and Optimizing LSTM Language Models

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-05T23:56:11.204969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:56:11.204969Z digest=sha256:aa223eb48a7b02bea2c7527972aa2fb3930e711016fd5b9dbd148d3defe73ba3

Observation bf241691-e5b4-4584-8090-fdee196bd442 · outbound

This paper cites Advances in Neural Information Processing Systems, 33:1877–1901.

A Reproducible, Scalable Pipeline for Synthesizing Autoregressive Model Literature Advances in Neural Information Processing Systems, 33:1877–1901

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T23:56:11.959342Z

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=pdf_text observed=2026-08-05T23:56:10.892236Z digest=sha256:0b426a5e481989338342d27324783fd8f182fb00f0eba3019bd448c389cc57fc

Observation a45ff694-59c6-47e9-a0ed-bbba91a57f9e · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

A Reproducible, Scalable Pipeline for Synthesizing Autoregressive Model Literature BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-05T23:56:11.018827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:56:11.018827Z digest=sha256:2627ec77cc2728644e2363225af8041286b87bd26fd6d0cbe2e973a77c45e4f9

Observation 56c590a0-3b74-4b83-bd7a-c578de74e580 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

A Reproducible, Scalable Pipeline for Synthesizing Autoregressive Model Literature Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-05T23:56:11.289155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:56:11.289155Z digest=sha256:7b626b16cde962093e9a5b5f083e0d3f2c5fafc7102bd8dd9054f0225a89ae1d

Observation f9691233-dc61-407d-80e8-ab0e3454aade · outbound

This paper cites Anticipatory Music Transformer.

A Reproducible, Scalable Pipeline for Synthesizing Autoregressive Model Literature Anticipatory Music Transformer

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T23:56:11.379580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:56:11.379580Z digest=sha256:bfbc1395cb40656abb3b0d9de254dd1602163e0cf47a6a1b807b209c138b24e5

Pith citing papers

No inbound Pith citation observations are available.