Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:38:29.748740Z
Paper Citation Record · LEDGER
Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments
As of 18 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2505.13535.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
18 of 18 outbound references displayed
- verified exact1
- verified fuzzy4
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 350dea41-d5bf-442e-ba23-2996d430d33f · outbound
This paper cites an unresolved cited work.
Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:38:30.590200Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2caca5d5-a1a9-4024-85c2-e5545fb3355a · outbound
This paper cites an unresolved cited work.
Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:38:30.363294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4b1e28e9-cc48-4b44-b473-a21bf54aac59 · outbound
This paper cites an unresolved cited work.
Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:38:30.573577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5b2cfe11-1094-43e1-84b2-df94d660f656 · outbound
This paper cites U SE THESE TO HELP CONSTRUCT THE COMPLETE DICTIONARY : {blocks_and_parses} INSTRUCTIONS:.
Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments U SE THESE TO HELP CONSTRUCT THE COMPLETE DICTIONARY : {blocks_and_parses} INSTRUCTIONS:
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:38:30.557737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 80921e7a-af43-4f36-9d57-adc7d09d4dbe · outbound
This paper cites an unresolved cited work.
Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:38:30.539898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8a993dcf-e67d-4543-9b31-4e71e5833b4b · outbound
This paper cites an unresolved cited work.
Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:38:30.348713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 643b3a92-d77a-4640-bfd1-bebafd526e9f · outbound
This paper cites an unresolved cited work.
Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:38:30.332060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c6ff4ed2-2f32-4e20-91ff-34ab0c17b406 · outbound
This paper cites U SE THE REASON FROM PARTIAL PARSES , CHECK IF IT MENTIONS EXACT MATCH.
Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments U SE THE REASON FROM PARTIAL PARSES , CHECK IF IT MENTIONS EXACT MATCH
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:38:30.316456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4792b0ab-fe58-4165-ad18-1a1b073854c4 · outbound
This paper cites an unresolved cited work.
Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T20:38:30.225185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3bc2beaf-058a-4487-8f85-3db63c344bdb · outbound
This paper cites It incorporates layout information us- ing cross-attention between bounding boxes and text, and through masked image modeling.
Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments It incorporates layout information us- ing cross-attention between bounding boxes and text, and through masked image modeling
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:38:30.181358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7a8e77e2-f7bb-4836-8dd9-99344d27facd · outbound
This paper cites 30 hierarchical entities are annotated manually under top-level entities menu, subtotal and total.
Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments 30 hierarchical entities are annotated manually under top-level entities menu, subtotal and total
Reference 100
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T20:38:30.196743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a762fab5-78b6-4a19-814d-23201f95ab69 · outbound
This paper cites BERTgrid: Contextualized Embedding for 2D Document Representation and Understanding.
Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments BERTgrid: Contextualized Embedding for 2D Document Representation and Understanding
Reference 2013
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:38:29.507278Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aeb51e6c-a349-49b2-98c8-05358ebbf200 · outbound
This paper cites LoRA: Low-Rank Adaptation of Large Language Models.
Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments LoRA: Low-Rank Adaptation of Large Language Models
Reference 2016
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:38:29.528844Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94ecd33f-f291-4fcc-9ec3-5de93c4acc9e · outbound
This paper cites CloudScan - A configuration-free invoice analysis system using recurrent neural networks.
Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments CloudScan - A configuration-free invoice analysis system using recurrent neural networks
Reference 2017
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-15T20:38:29.861790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 17a0415b-86b4-412b-b879-ee142e3c6eb4 · outbound
This paper cites Spatial Dependency Parsing for Semi-Structured Document Information Extraction.
Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments Spatial Dependency Parsing for Semi-Structured Document Information Extraction
Reference 2019
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T20:38:29.942680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 22497956-9e37-49fe-9d8a-fc320448d193 · outbound
This paper cites UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training.
Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
Reference 2020
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-15T20:38:30.157559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d6fc3f13-d934-43d7-aa2d-ede36bcd4cf5 · outbound
This paper cites ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding.
Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:38:29.606582Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c75c872d-3ee9-4ca1-8a2c-b299f36b3fd5 · outbound
This paper cites Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study.
Information Extraction from Visually Rich Documents using LLM-based Organization of Documents into Independent Textual Segments Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:38:29.542231Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.