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Paper Citation Record · LEDGER

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding

As of 11 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2608.07067.

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

pith.paper-citation-record.v1
2608.07067 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:27:46.768717Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

47 of 47 outbound references displayed

  • verified exact1
  • verified fuzzy21
  • unresolved25
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2fdf6ffe-a47a-4537-8ed0-66594e1ccac8 · outbound

This paper cites System card: Claude opus 4 & claude sonnet 4.Claude-4 Model Card, 2025.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding System card: Claude opus 4 & claude sonnet 4.Claude-4 Model Card, 2025

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation d5e3eaa8-461b-4a7b-b4f0-4e36c9c77bca · outbound

This paper cites Self-rag: Learning to retrieve, generate, and critique through self-reflection.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Self-rag: Learning to retrieve, generate, and critique through self-reflection

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-10T15:27:47.678993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.601131Z digest=sha256:4376c14f479354ef0f6a001b97e81ca3a7aea2ea1de59490d039bb2d621c5cac

Observation b0d78cae-66c9-49fe-936e-3b8a2322244b · outbound

This paper cites Qwen3-VL Technical Report.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Qwen3-VL Technical Report

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:27:46.605128Z digest=sha256:4b8bae8043fca8e5ef3474ce1ffc9df913ef13fd64c1199c2090f573c7e44d56

Observation 5eab44ad-a353-472b-bb1d-d0fd496565ae · outbound

This paper cites M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Reference 4

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no resolver link, observed 2026-08-10T15:27:46.609469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:27:46.609469Z digest=sha256:d40679062298dcd77a5b7fb5757688141fa7cdfbb9ac0a60a54d75d5c749004c

Observation b01f0a63-203e-4907-97f9-b511bb6c6dae · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 5

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no resolver link, observed 2026-08-10T15:27:46.613184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:27:46.613184Z digest=sha256:8f893f914aabaad1d4940d3929328fe5bd694f43846ed07ce08fc54a5b55ec3e

Observation 4858fa84-3659-4ba5-8f95-81f544ad4a60 · outbound

This paper cites Longdocurl: a comprehensive mul- timodal long document benchmark integrating un- derstanding, reasoning, and locating.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Longdocurl: a comprehensive mul- timodal long document benchmark integrating un- derstanding, reasoning, and locating

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:27:47.667783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.616716Z digest=sha256:fd02b70d6d296fa3a2df22233e748f2be6560aad0089f340e853e512b0ceef1a

Observation 89a16ea8-04d5-481a-a7b2-4df08ff47d04 · outbound

This paper cites Towards large language models with human-like episodic memory.Trends in Cognitive Sciences, 2025.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Towards large language models with human-like episodic memory.Trends in Cognitive Sciences, 2025

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:27:46.620346Z digest=sha256:677bc3efd49272a716a96d77ff2d843a922e36c96f1c9cf4ba91f7e90fb047d3

Observation f3c4a8a9-e862-4d13-80c5-abd71311e236 · outbound

This paper cites Colpali: Efficient document retrieval with vision language models.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Colpali: Efficient document retrieval with vision language models

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.623317Z digest=sha256:9b673de30fb05a4b27c81e3243ac80eec1951ce9f765d36f142e5368ceccdcd1

Observation be79276c-c98d-489e-a76e-81212fd0860e · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 9

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:27:46.626396Z digest=sha256:f61f1c4f106d72ca477b987180c6c4fda7d0e19147a43f3b91b9355e14a74fc1

Observation e157f288-3bee-4bc5-8b99-2c7d90cea61d · outbound

This paper cites Ma-lmm: Memory-augmented large multimodal model for long-term video under- standing.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Ma-lmm: Memory-augmented large multimodal model for long-term video under- standing

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.630842Z digest=sha256:9735972295c1d3d505a0f877bb3b9dd529071a1e2c97fdbc1d547f8508f468de

Observation ee59cb0a-04da-476b-adf0-0f452eb65086 · outbound

This paper cites Licomemory: Lightweight and cognitive agentic memory for efficient long-term reasoning.arXiv preprint arXiv:2511.01448, 2025.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Licomemory: Lightweight and cognitive agentic memory for efficient long-term reasoning.arXiv preprint arXiv:2511.01448, 2025

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:27:46.634742Z digest=sha256:30ae07d4d46e6c5381f9af638d41b9b71b69cadc8465fd41fb0616439c4df6e5

Observation 7e7ba40d-29a0-4e01-913a-d6a530fbc6d7 · outbound

This paper cites Uda: A benchmarksuiteforretrievalaugmentedgeneration in real-world document analysis.Advances in Neural Information Processing Systems, 37:67200–67217, 2024.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Uda: A benchmarksuiteforretrievalaugmentedgeneration in real-world document analysis.Advances in Neural Information Processing Systems, 37:67200–67217, 2024

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.638635Z digest=sha256:13c64b20faa79a7443f0426340c414b6e2c45b6118e38ffcaad333ee75100887

Observation 674b1ac9-6d7c-440d-b684-d78e7bd88d2a · outbound

This paper cites GPT-4o System Card.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding GPT-4o System Card

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:27:46.642308Z digest=sha256:fcac03d4c53f30e7e6977aa941216355de7432b1f03cfd85c5c708e2ce1e7c9f

Observation e35afc22-42f0-4df8-a37d-7850290b39cc · outbound

This paper cites Simpledoc: Multi-modal docu- ment understanding with dual-cue page retrieval and iterative refinement.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Simpledoc: Multi-modal docu- ment understanding with dual-cue page retrieval and iterative refinement

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:27:47.614445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.646416Z digest=sha256:ffc6ef4db57d89f3cf8e9c5f7ae0f1a87b3dabce53a5df2973ada07dddc21b61

Observation de4b78fc-4998-4362-b881-20fe22ee46a7 · outbound

This paper cites Active retrieval aug- mented generation.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Active retrieval aug- mented generation

Reference 15

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raw_fallback, observed 2026-08-10T15:27:47.602072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.650056Z digest=sha256:17dd33c70d60de532f597f037f9881b07a515560bc3d49e767ed6df675b44931

Observation 5cd43882-2164-4138-8c6b-b4be4f4c2d94 · outbound

This paper cites Dense passage retrieval for open-domain question answering.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Dense passage retrieval for open-domain question answering

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.653774Z digest=sha256:eee3280ceb1a1521d5db65ec8c28c8b528ef4a1cf9d4a526d227816a36228cbf

Observation 1df58e62-7491-446c-845b-0b0f00e2f9f8 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in neu- ral information processing systems, 33:9459–9474, 2020.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in neu- ral information processing systems, 33:9459–9474, 2020

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ba09ec83-75b5-4882-9df4-e5f94a60eb1f · outbound

This paper cites Regionrag: Region- level retrieval-augmented generation for visual doc- ument understanding.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Regionrag: Region- level retrieval-augmented generation for visual doc- ument understanding

Reference 18

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raw_fallback, observed 2026-08-10T15:27:47.565439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.661194Z digest=sha256:5402a945e44fe4371cf11d1b5e20f34fb255e8141dc0fd1b5553d1ea348e0ccb

Observation 1f54c517-b46d-4551-8608-2ad739758dec · outbound

This paper cites From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:27:46.664630Z digest=sha256:952f978730dff71cac216bdc371de195ca6b23a2b912cf8ce76b922d236ea5f9

Observation 83eddd43-23ad-49ad-a55e-080d27a45912 · outbound

This paper cites Ra-isf: Learning to answer and understand from retrieval augmentation via iterative self-feedback.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Ra-isf: Learning to answer and understand from retrieval augmentation via iterative self-feedback

Reference 20

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raw_fallback, observed 2026-08-10T15:27:47.554320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.668898Z digest=sha256:98a7cade1c744384f8ad9907aa56b18ace5a6dcc4ea042bbd3926e3a1489e2bf

Observation d99ab5f7-71b5-4d6f-8204-152704aa2260 · outbound

This paper cites Seeing, listening, remembering, and reasoning: A multi- modal agent with long-term memory.arXiv preprint arXiv:2508.09736, 2025.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Seeing, listening, remembering, and reasoning: A multi- modal agent with long-term memory.arXiv preprint arXiv:2508.09736, 2025

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:27:46.672484Z digest=sha256:1f0aa16c6e9209c6799db18f0fc03bc6c821aed9aba5a2cb6565fcbc1579f874

Observation b6b6e09a-cab1-4731-8beb-40831e6b5c03 · outbound

This paper cites Mmlongbench-doc: Benchmark- inglong-contextdocumentunderstandingwithvisu- alizations.AdvancesinNeuralInformationProcessing Systems, 37:95963–96010, 2024.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Mmlongbench-doc: Benchmark- inglong-contextdocumentunderstandingwithvisu- alizations.AdvancesinNeuralInformationProcessing Systems, 37:95963–96010, 2024

Reference 22

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raw_fallback, observed 2026-08-10T15:27:47.542752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.676111Z digest=sha256:8311847cf25a5db0d88af20118604ee29bc52c42239a033baea18cebcd66d2eb

Observation 804d0970-726a-48bb-9a68-a4da39cfc502 · outbound

This paper cites an unresolved cited work.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 0a2e6006-aba9-4268-87d7-24634bd60133 · outbound

This paper cites Memgpt: towards llms as operating systems.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Memgpt: towards llms as operating systems

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T15:27:46.683209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:27:46.683209Z digest=sha256:a094e9770a406dbb9d5490f6980af78e86bd27b5387d50c00c34db2e549ac7f0

Observation 71e4ef11-49b7-47f4-8272-2a8fd7237d0f · outbound

This paper cites Cognitive load during problem solv- ing: Effects on learning.Cognitive science, 12(2): 257–285, 1988.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Cognitive load during problem solv- ing: Effects on learning.Cognitive science, 12(2): 257–285, 1988

Reference 25

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raw_fallback, observed 2026-08-10T15:27:47.511915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.686560Z digest=sha256:61f1a09bf422f7fd8317fd406f0679f3d55c8eae04fa989afc6445bbe276905b

Observation a74e994c-e772-4fd1-b345-f9646d75d17a · outbound

This paper cites Vdocrag: Retrieval-augmented generation over visually-rich documents.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Vdocrag: Retrieval-augmented generation over visually-rich documents

Reference 26

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raw_fallback, observed 2026-08-10T15:27:47.500728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.689922Z digest=sha256:71ae2c2693cd7e24f226dca4528e30d928e6071cfa8f469dd9bac3d5998d5490

Observation 1b8bd595-7552-4b7d-a4e4-007e196e7d76 · outbound

This paper cites Qwen3.5-Omni Technical Report.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Qwen3.5-Omni Technical Report

Reference 27

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no resolver link, observed 2026-08-10T15:27:46.693238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:27:46.693238Z digest=sha256:e7c036733952ac7fa1e205fce4146373c2312f8b483663fc407e0f7cd54af63c

Observation e6bfaf77-06df-4c83-bcea-4e6e7b19ce7d · outbound

This paper cites On the likelihood that one unknown probability exceeds another in view of the evidence of two samples.Biometrika, 25(3/4): 285–294, 1933.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding On the likelihood that one unknown probability exceeds another in view of the evidence of two samples.Biometrika, 25(3/4): 285–294, 1933

Reference 28

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raw_fallback, observed 2026-08-10T15:27:47.489209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.697279Z digest=sha256:1efcbf2fb4579911c1600cc35497a7d3c809b75d0c43acb6f666dc19a1616007

Observation 77d4ab46-0c38-4e8b-889e-08c5f6e8b290 · outbound

This paper cites Interleaving retrieval with chain-of-thought reasoning for knowledge- intensive multi-step questions.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Interleaving retrieval with chain-of-thought reasoning for knowledge- intensive multi-step questions

Reference 29

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raw_fallback, observed 2026-08-10T15:27:47.478542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.701142Z digest=sha256:d205a1bfbb9a9224a9c9fc070ef5b78daf6fc6efca178f9dac0ffd140e6131f0

Observation a38b46af-4ec8-4fc5-994e-f8ef6551e1c1 · outbound

This paper cites MinerU: An Open-Source Solution for Precise Document Content Extraction.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding MinerU: An Open-Source Solution for Precise Document Content Extraction

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:27:46.705028Z digest=sha256:146d0ca6268bdb5bc348afe3265d6368be75864e3282e463007b1e22adf305a9

Observation cd94790a-75dd-4b65-a65f-94b38f7472bd · outbound

This paper cites Agenticocr: Parsing only what you need for effi- cientretrieval-augmentedgeneration.arXivpreprint arXiv:2602.24134, 2026.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Agenticocr: Parsing only what you need for effi- cientretrieval-augmentedgeneration.arXivpreprint arXiv:2602.24134, 2026

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:27:46.709130Z digest=sha256:8a76f359a9fe1b45018871633943f3a4609dbcfc79f24d6d8e569ace7e20f54b

Observation bffa3dcf-d18f-4a2b-9fa1-d2ab9f11bce8 · outbound

This paper cites Molorag: Bootstrapping docu- ment understanding via multi-modal logic-aware retrieval.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Molorag: Bootstrapping docu- ment understanding via multi-modal logic-aware retrieval

Reference 32

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raw_fallback, observed 2026-08-10T15:27:47.466463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.712982Z digest=sha256:b38804a042076036a5047f3e762d95e04fa355acf55ca798b2dd880b4aea4750

Observation 97836b5c-9e54-4fd1-bd3d-bd1edfc99911 · outbound

This paper cites Large Multimodal Agents: A Survey.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Large Multimodal Agents: A Survey

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T15:27:46.716845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:27:46.716845Z digest=sha256:6ab8025fccf4db8ad99a21e971edb63a307a5b346329a0028b795383376c0558

Observation 6f0da627-595d-4b82-b6ab-f09fe56efcbe · outbound

This paper cites A-mem: Agentic mem- ory for llm agents.Advances in Neural Information Processing Systems, 38:17577–17604, 2026.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding A-mem: Agentic mem- ory for llm agents.Advances in Neural Information Processing Systems, 38:17577–17604, 2026

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:27:47.454643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.721075Z digest=sha256:49edc9d5291422a0f530919576aaed3f474c6c1e5d408e165ec2a31d96cf5ba0

Observation b2e26032-f26a-49f3-bbab-2951b1e64396 · outbound

This paper cites Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T15:27:46.724873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:27:46.724873Z digest=sha256:a4660880f2f22c9517bd86832296e2975124cfc57cb669bc9cdd23ad9f9cb0ad

Observation e7189b31-a6e5-41ec-98b4-5d07391cdfd3 · outbound

This paper cites Visrag: Vision-based retrieval-augmented generation on multi-modality documents.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Visrag: Vision-based retrieval-augmented generation on multi-modality documents

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:27:47.443128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.728482Z digest=sha256:1e148558fc8138384b705928ce5f4b3a57e1597d7992642882f23475b62b90ab

Observation 8be30af3-ba0b-4eb9-8a91-e1b943077b36 · outbound

This paper cites Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T15:27:46.731624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:27:46.731624Z digest=sha256:b2d5b0cb46594ea5acc32ff394c9041f85234dfa6f2586b1f003fd222cc964e3

Observation 48323eba-c045-45cf-8fd0-02687e403854 · outbound

This paper cites Mldocrag: Multi- modal long-context document retrieval augmented generation.arXiv preprint arXiv:2602.10271, 2026.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Mldocrag: Multi- modal long-context document retrieval augmented generation.arXiv preprint arXiv:2602.10271, 2026

Reference 38

Resolution
verified exact
raw_fallback, observed 2026-08-10T15:27:47.006861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.735388Z digest=sha256:1323490e8182bd0a4cb87b4a65291b23d1311b7c8db86652e87fe28af74b037c

Observation c9e9bcdb-9b9d-47b2-9ae1-93ffe63ff4c6 · outbound

This paper cites Doclens: A tool-augmented multi-agent framework for long visual document understanding.arXiv preprint arXiv:2511.11552, 2025.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Doclens: A tool-augmented multi-agent framework for long visual document understanding.arXiv preprint arXiv:2511.11552, 2025

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T15:27:46.738531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:27:46.738531Z digest=sha256:34a4cfdbde804a7290e8a4b818992bd72089439deb9ed04bac78218709d86909

Observation 8ddbaeb8-f6ff-403d-89c2-28caf257e899 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T15:27:46.741816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:27:46.741816Z digest=sha256:f9e626f4fc7eb17d4b55c85efa0c54f7972ed8899f0e3718c3a7973eb91b0129

Observation 5abcf447-2441-4f77-8aa0-f4976a05c667 · outbound

This paper cites an unresolved cited work.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:27:47.432415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.746094Z digest=sha256:31f6aef164e6c563ef20f273f725a75915384c9cdd29ca22fc90b9c6bcc77121

Observation 248e9a50-1f3f-4e54-a5fe-19be8cd72ab9 · outbound

This paper cites an unresolved cited work.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:27:47.421806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.749713Z digest=sha256:10512c82f356d2ed9e1fa03188ac4bf900296327c67d2578636897a4a97512ca

Observation c664134a-a877-4389-aa66-b7b83078c900 · outbound

This paper cites an unresolved cited work.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:27:47.410969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.753341Z digest=sha256:8eb0911876f3efde8a988b2ee9911ee6318c626936672e5950bf1fa73f69ed81

Observation dcfc619a-0a1e-4d08-a2b5-3f26d4357aa7 · outbound

This paper cites an unresolved cited work.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:27:47.399324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.757465Z digest=sha256:4f9851bf4ede88273d221d97ad0f27589b08b4d74cbd892641904ee8abbce11a

Observation 43e29c54-109d-4909-8939-431d82b3c31c · outbound

This paper cites an unresolved cited work.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:27:47.387060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.761032Z digest=sha256:1851d3d251abab447fc992b38f6244dd75f8021f279f21e6efc87208a4b15ba1

Observation 6060c4dd-ea8d-4840-b57d-395cda7d3f59 · outbound

This paper cites an unresolved cited work.

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:27:47.374209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.764970Z digest=sha256:4d38fd5f3fb23b5d9a687a604e79f0e0709384ca722ae64aeb3913c3cd13bf93

Observation 3f0a6c13-0e91-4bd0-bf0e-cf26154e82fb · outbound

This paper cites Output : < local_structure > Pages X - Y : [ section topic ] Pages Y - Z : [ section topic ].

DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding Output : < local_structure > Pages X - Y : [ section topic ] Pages Y - Z : [ section topic ]

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:27:47.362451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:27:46.768717Z digest=sha256:4e32ce17ff7ee493789b7057ef5df76ac2a8775c7cfd74e6f6d2df4057e471bb

Pith citing papers

No inbound Pith citation observations are available.