Paper Citation Record · LEDGER

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine

As of 21 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2505.01435.

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

pith.paper-citation-record.v1
2505.01435 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:53:48.837139Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:41:26.013320Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T22:08:36.089273Z

Reference resolution

22 of 22 outbound references displayed

verified exact2
verified fuzzy5
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 781b680f-370b-4569-8364-3d072f28ad61 · outbound

This paper cites A Comparative Study of PDF Parsing Tools Across Diverse Document Categories.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine A Comparative Study of PDF Parsing Tools Across Diverse Document Categories

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:48.755917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a15c5c65-e580-4d0b-b39c-ee0840948431 · outbound

This paper cites Nougat: Neural Optical Understanding for Academic Documents.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine Nougat: Neural Optical Understanding for Academic Documents

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:48.769121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c143fdc5-256b-4216-acaa-4e2205162aa2 · outbound

This paper cites Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:48.773660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15822557-99b2-4845-ae99-2163d60a9c24 · outbound

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

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:48.788875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae078975-ce9d-4c3b-bfcc-e8949fc0bea9 · outbound

This paper cites Icdar 2021 competition on scientific literature parsing.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine Icdar 2021 competition on scientific literature parsing

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:49.120247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 015653b8-dc53-46b2-be03-0b5654023aab · outbound

This paper cites Levenshtein, V.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine Levenshtein, V

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:49.108175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 79858c9c-0bee-4edc-9b70-367fcef93ae7 · outbound

This paper cites SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:48.805092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47b51ea1-9d76-4f3c-82f5-3ed2172fed83 · outbound

This paper cites A Call for Clarity in Reporting BLEU Scores.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine A Call for Clarity in Reporting BLEU Scores

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:48.816069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e341508b-8b6f-4475-b9db-623134a4f167 · outbound

This paper cites Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:48.825786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 469947d8-2885-4997-be43-eac7b590b9bc · outbound

This paper cites Beyond neural scaling laws: beating power law scaling via data pruning.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine Beyond neural scaling laws: beating power law scaling via data pruning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:48.829881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f232af8f-d091-48d0-8614-264ad556484e · outbound

This paper cites Optimizing Nepali PDF extraction: A comparative study of parser and OCR technologies.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine Optimizing Nepali PDF extraction: A comparative study of parser and OCR technologies

Reference 2002

Resolution: verified exact; raw_fallback, observed 2026-08-16T10:53:48.979879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dbd2fd73-72ea-44bf-8e73-7c52ec8cdb23 · outbound

This paper cites Galactica: A Large Language Model for Science.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine Galactica: A Large Language Model for Science

Reference 2003

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:48.833740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 958e28b4-60d8-4b88-a6ca-e15fed6e074e · outbound

This paper cites S2ORC: The Semantic Scholar Open Research Corpus.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine S2ORC: The Semantic Scholar Open Research Corpus

Reference 2004

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:48.808923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eed52e5-b2e7-4982-a55a-cceb207018b4 · outbound

This paper cites Hence, the datasetD ={(xi,yi)}N i=1 represents the (parsed) text inputs with Rm-valued responses (i.e., a document-wise accuracy vector).

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine Hence, the datasetD ={(xi,yi)}N i=1 represents the (parsed) text inputs with Rm-valued responses (i.e., a document-wise accuracy vector)

Reference 2007

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:49.088470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c9d77782-fb47-4c3c-8239-334c159af668 · outbound

This paper cites SciBERT: A Pretrained Language Model for Scientific Text.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine SciBERT: A Pretrained Language Model for Scientific Text

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:48.764963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ece6aa13-6cf5-49ae-81de-c450da80b67f · outbound

This paper cites {\mu}gat: Improving Single-Page Document Parsing by Providing Multi-Page Context.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine {\mu}gat: Improving Single-Page Document Parsing by Providing Multi-Page Context

Reference 2018

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:53:48.895167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d622980a-1752-41eb-9648-582a486275fd · outbound

This paper cites and Korzen, C.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine and Korzen, C

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:49.133199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 835cd723-bc47-44da-9dcf-de36e9846334 · outbound

This paper cites What's In My Big Data?.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine What's In My Big Data?

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:48.784978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a489402d-ca90-468d-be99-234b0e70da29 · outbound

This paper cites K., Dey, A., and Zanibbi, R.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine K., Dey, A., and Zanibbi, R

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:53:49.098134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e8da7cd3-4197-490c-9f70-3ecfc70954fa · outbound

This paper cites SPECTER: Document-level Representation Learning using Citation-informed Transformers.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine SPECTER: Document-level Representation Learning using Citation-informed Transformers

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:48.777942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e829913b-ec0e-4cb7-9148-dcbd9a20e846 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine LoRA: Low-Rank Adaptation of Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:48.794228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 032921eb-e481-4f8d-b60a-a57dcb6a28bc · outbound

This paper cites PP-OCR: A Practical Ultra Lightweight OCR System.

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine PP-OCR: A Practical Ultra Lightweight OCR System

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T10:53:48.781557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7439b183-a787-42a9-8c11-efce408a164a · inbound

Automated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language Models cites this paper.

Automated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language Models AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T17:41:26.013320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d50c6184-b069-4211-872e-a8216d583b0e · inbound

Scalable Agentic Reasoning for Designing Biologics Targeting Intrinsically Disordered Proteins cites this paper.

Scalable Agentic Reasoning for Designing Biologics Targeting Intrinsically Disordered Proteins AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:08:36.090866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.