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Paper Citation Record · LEDGER

A Reproducible, Scalable Pipeline for Synthesizing Autoregressive Model Literature

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:52799fcf64df90dc2969b69496729c4ef2621fa03aa94b5d5c59ad5397c04cc6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:56:11.485296Z digest=sha256:f3aa4d6788dc55cf76e4326ccd8cbf442fe661a63ba5f7b2cd983491dc509cc0

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=sha256:9acb256c38bc60028f4ec5b252daa3ccd7fd5bb601b4a563ea65a9cb40de41b7

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:af63d2c57fb9531ce1eb43d20d2e25184cd44a403798046a55baa6f505733569

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T23:56:10.892236Z digest=sha256:c0531c770a2f76967a2451cdf144a105ec9260c707cb443a6610943bea478813

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=sha256:6a01aad4bc698d9840a1b5fd9bfe2e087d87c7558bdaeb75e8c33e4659f3663b

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=sha256:861ca666e911402914cf054add4e376cf355e7963ebeef1cc0c2ef48a6515677

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=sha256:33a3f95cf146fde38d9ea5dce166bff30fe849e2f12809cbe7e4d21c60ff13b6

Pith citing papers

No inbound Pith citation observations are available.