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Paper Citation Record · LEDGER

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval

As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2509.07666.

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

pith.paper-citation-record.v1
2509.07666 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:26:48.774917Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

42 of 42 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3d2dfed1-9b8d-41ef-9893-65616d63b234 · outbound

This paper cites online" 'onlinestring :=.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval online" 'onlinestring :=

Reference 1

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source=arxiv_source observed=2026-08-15T16:26:48.619960Z digest=sha256:6fc3d632ffd11aa6f21e631f9b91cf522f5024e3b22fae6e53ac610d5688ef3f

Observation e0a018fa-bd23-4bf0-80ac-30ccb36fcde8 · outbound

This paper cites write newline.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval write newline

Reference 2

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source=arxiv_source observed=2026-08-15T16:26:48.624402Z digest=sha256:3d62ef9c988502f53545ffcac6630499b6c6248bf568307eeaded5e775f9ae2f

Observation 40c73b24-a49e-4816-b96e-f4d43bddb976 · outbound

This paper cites an unresolved cited work.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-08-15T16:26:48.628790Z digest=sha256:6be0cc1c2a45abcf75a6efd749d3f8588c7b81816cd6ba66b3f576cd2315fb82

Observation 764dc240-65d8-4b23-9284-d089522fd131 · outbound

This paper cites Qwen2.5-VL Technical Report.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Qwen2.5-VL Technical Report

Reference 4

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source=arxiv_source observed=2026-08-15T16:26:48.632536Z digest=sha256:65671720fba5175222d65fb69a540aa51ec98c60b61c4e397e20e629a8de3ac3

Observation 7381004a-d70e-4344-b88f-faac554c30c9 · outbound

This paper cites MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text

Reference 5

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source=arxiv_source observed=2026-08-15T16:26:48.636488Z digest=sha256:8046bc208f4d07c76548992220d2d01a9b3e84aa72cb6241d057e4ad371940c9

Observation 44b61f8a-b3f0-4ece-805d-1ca1e97a2b09 · outbound

This paper cites MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training

Reference 6

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source=arxiv_source observed=2026-08-15T16:26:48.640460Z digest=sha256:a139c9ea8480b9e9659145eaa4a649bcb79b864f67c626862673b9b5a91ebdbf

Observation b24e8fe9-6d68-4574-9d54-ed402b7a383e · outbound

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

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Reference 7

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source=arxiv_source observed=2026-08-15T16:26:48.644525Z digest=sha256:20161f35bf2baaff22158c7a86541c5543d0e8a7c74753eef433f262ad98ce2a

Observation 483148f6-df22-4ab4-a5f2-21a481fb8a1f · outbound

This paper cites DeepSeek-V3 Technical Report.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval DeepSeek-V3 Technical Report

Reference 8

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source=arxiv_source observed=2026-08-15T16:26:48.648401Z digest=sha256:84ae14cba079b885d094f9a3c43f777b6182d449956499a151feff06255c57ba

Observation a4278f59-49e0-4a6d-8e8c-d90b3ce57bb9 · outbound

This paper cites LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating

Reference 9

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source=arxiv_source observed=2026-08-15T16:26:48.653139Z digest=sha256:1de38f6c3db1dce5c8ff16353c3d881164fa41b733cdb5a31f61d47c9e7a0ac4

Observation 026e86b1-2744-47ba-988a-ea05c2f30d2d · outbound

This paper cites an unresolved cited work.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Unresolved cited work

Reference 10

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source=arxiv_source observed=2026-08-15T16:26:48.657152Z digest=sha256:85f6b58b8fc1b0646825f56cda17fe02e2bc94d2a9a24f9f3df8964ea38c80ae

Observation 26426431-d4c2-4cf6-ac3d-d321e58edbd7 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 11

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source=arxiv_source observed=2026-08-15T16:26:48.661951Z digest=sha256:c16cb7b2e32bdcd838982e3fc699ee623202b0b2084597cc03b98b83795862ac

Observation a6440771-30ad-42e6-8dc7-20d33ee2fd2c · outbound

This paper cites ColPali: Efficient Document Retrieval with Vision Language Models.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval ColPali: Efficient Document Retrieval with Vision Language Models

Reference 12

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source=arxiv_source observed=2026-08-15T16:26:48.665726Z digest=sha256:0637c86c881956f9e49c349b7f70a8436e40751f568f04f6321bac31f8ad29e2

Observation b596e0a6-2f43-488b-8e67-5af7307adbcb · outbound

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

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 13

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source=arxiv_source observed=2026-08-15T16:26:48.669331Z digest=sha256:1170b587166cd31460ca474c2c05eb3143e654114cab32f4e6002636b066d714

Observation 5f2bfd49-2e3f-46a5-ac71-1bdd727c4838 · outbound

This paper cites The Llama 3 Herd of Models.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval The Llama 3 Herd of Models

Reference 14

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source=arxiv_source observed=2026-08-15T16:26:48.673141Z digest=sha256:f88abc0f3ac29fb4f7ffe5935b3e129be216ec0a2eb79d3e0d5ecb4bb3cdb51b

Observation d21a0963-2e87-4176-8f8a-e03f2160690b · outbound

This paper cites MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding

Reference 15

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source=arxiv_source observed=2026-08-15T16:26:48.676645Z digest=sha256:26b615bddd130108de8d9cd3b664b92812a1e02adce2dd26fdd12cae6e01903d

Observation 603a4c95-589b-4bb2-814a-17c2c8006dd8 · outbound

This paper cites an unresolved cited work.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Unresolved cited work

Reference 16

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:26:48.680198Z digest=sha256:7f28dedd19fe068b0c0b47f4609a732713ddb37c9f5e093b20ee2f862bb78f16

Observation 80ebe18b-7eeb-4d00-b920-c0911a1674a1 · outbound

This paper cites an unresolved cited work.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Unresolved cited work

Reference 17

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source=arxiv_source observed=2026-08-15T16:26:48.683603Z digest=sha256:a83d77d52573a9b5626221072ea143e6735778c8e2f45fff2e831668e9c91388

Observation 7821d7a2-9bf0-4f23-8013-356d84d7b5bc · outbound

This paper cites an unresolved cited work.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Unresolved cited work

Reference 18

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source=arxiv_source observed=2026-08-15T16:26:48.686775Z digest=sha256:32bfa6e8d790c0409b654ef077f58681c62dd3930121e96c09bffa30147cfb64

Observation b04dd21c-4bae-4d83-bd09-9a64cff14c84 · outbound

This paper cites Mistral 7B.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Mistral 7B

Reference 19

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source=arxiv_source observed=2026-08-15T16:26:48.690092Z digest=sha256:9f0fc49b86a25d244a208211f7fd34677c0e12075dc63990a3cf0d3e023d557f

Observation 250c7d2f-ea90-4ddb-836e-fbcfa32506ff · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 20

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source=arxiv_source observed=2026-08-15T16:26:48.693446Z digest=sha256:67ce14e3c3043b31ad516cff49b6dc835e1f1f8aa1427500474f0cff3d3bd1f0

Observation 5b5a26aa-015e-494b-b5bf-98bfe9a37a3f · outbound

This paper cites an unresolved cited work.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Unresolved cited work

Reference 21

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source=arxiv_source observed=2026-08-15T16:26:48.696969Z digest=sha256:5baedca40572170825ff1da365ed67021bdfeb8da09277a4b573683ebbd5bf40

Observation b974ae77-034d-49bf-83a1-e3749c4f5189 · outbound

This paper cites an unresolved cited work.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:26:48.700302Z digest=sha256:438b7bb8841f84dbea22171a8736b255d340570f69b24c55ab14991cd9f37008

Observation 984fec7c-f0a6-4de2-ab47-29394dc0d7bb · outbound

This paper cites HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation

Reference 23

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source=arxiv_source observed=2026-08-15T16:26:48.703851Z digest=sha256:51703efd69f514568b2a631f366cee48871b447497ebccfe23fbdf5a145e934d

Observation c560c324-9753-4ac8-8953-fb3d5ecc2c77 · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 24

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source=arxiv_source observed=2026-08-15T16:26:48.708255Z digest=sha256:2b83ac56a78afaada3e31de7399388bc8c6f342b08b9d42178f3da14a8424c17

Observation e2f853ee-21f6-4675-a65e-7a58b0497f5f · outbound

This paper cites VISA: Retrieval Augmented Generation with Visual Source Attribution.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval VISA: Retrieval Augmented Generation with Visual Source Attribution

Reference 25

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source=arxiv_source observed=2026-08-15T16:26:48.711996Z digest=sha256:254adb62e5afe82fb7ca150bfad28690a84f0f8ed6530f8ffc20a0ca11769011

Observation d26497a4-3950-4432-84f0-5c6e10053afc · outbound

This paper cites MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations

Reference 26

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source=arxiv_source observed=2026-08-15T16:26:48.715728Z digest=sha256:885be56d868e06e7c7a4c9237ba74c7b0e1309950ae6305536c2a901605ad27f

Observation 2c1d8ddd-4e92-4c61-aa95-1a478870ef7d · outbound

This paper cites an unresolved cited work.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Unresolved cited work

Reference 27

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source=arxiv_source observed=2026-08-15T16:26:48.719448Z digest=sha256:fc8545ffdc55bb32c55fb4631ff00892d95f087a6dc8b3572fcd4107d72dadbc

Observation 803e3a0c-74f8-49d3-81b4-a1a44c639523 · outbound

This paper cites an unresolved cited work.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Unresolved cited work

Reference 28

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source=arxiv_source observed=2026-08-15T16:26:48.723404Z digest=sha256:0b12954182d6cb3e5f5c2374d1c756c851940cb7fefb7058fa5141a312fe4da9

Observation 7fe287de-a5b4-472e-bd74-b4721143ce3f · outbound

This paper cites an unresolved cited work.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Unresolved cited work

Reference 29

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source=arxiv_source observed=2026-08-15T16:26:48.726959Z digest=sha256:996d984b2b3803a4877c58515e416cdff532565542c6ef11d515c7a8e39a3a1e

Observation 67bb8276-0a2e-455b-8640-e91594f2579c · outbound

This paper cites GPT-4o System Card.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval GPT-4o System Card

Reference 30

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source=arxiv_source observed=2026-08-15T16:26:48.730462Z digest=sha256:dbd549b3158da32c81b2bc70e7b027e50d09b6fce97525d98234ea0086b84293

Observation 39b00746-2b6c-4980-9a52-79b34c0159e2 · outbound

This paper cites Qwen2.5 Technical Report.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Qwen2.5 Technical Report

Reference 31

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source=arxiv_source observed=2026-08-15T16:26:48.734256Z digest=sha256:4d1c95526d06fd78f06ed875a197e7c4bb4c6f2dcecf4d4292f527c0c4157956

Observation df39220d-11e9-4d64-9134-562d8637b4ba · outbound

This paper cites an unresolved cited work.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Unresolved cited work

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:26:48.737824Z digest=sha256:830de394c3ba71297daed8056e17707333eec38a608252b5001dd4e779c65375

Observation 4853250f-6eb7-47db-bb5c-c5c072e4b180 · outbound

This paper cites Dial-insight: Fine-tuning Large Language Models with High-Quality Domain-Specific Data Preventing Capability Collapse.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Dial-insight: Fine-tuning Large Language Models with High-Quality Domain-Specific Data Preventing Capability Collapse

Reference 33

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verified exact
local_arxiv, observed 2026-08-15T16:26:49.010547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:26:48.741370Z digest=sha256:a6a91b3c597e5715bbaa71c3f3010a9dabf2951d654e4a2829c3c9c9cd5724fc

Observation 4ab9c5ce-0ca1-49f3-a51b-fe3b6d7fd931 · outbound

This paper cites VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation

Reference 34

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source=arxiv_source observed=2026-08-15T16:26:48.745529Z digest=sha256:c317fd85e2003d2033def9f5e996170cefe6060890bcc020e2aa0736eab5240e

Observation 7132939d-17f7-4252-9534-0d10508256da · outbound

This paper cites an unresolved cited work.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Unresolved cited work

Reference 35

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source=arxiv_source observed=2026-08-15T16:26:48.749726Z digest=sha256:1e681b7c4cd247b11e0f9ac4e360c5a6811a216c2fac31612448233b51ba1b8f

Observation c774a7b3-5a1a-4fb4-b79c-e7aae40eac9b · outbound

This paper cites Hierarchical multimodal transformers for Multi-Page DocVQA.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Hierarchical multimodal transformers for Multi-Page DocVQA

Reference 36

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source=arxiv_source observed=2026-08-15T16:26:48.753100Z digest=sha256:55e46e1a33f6171bf9650553e3b6c5a52d87eb427c889e02312f4531be382710

Observation aa575bb1-52df-43ad-ab4d-f0c44da43e0a · outbound

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

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval MinerU: An Open-Source Solution for Precise Document Content Extraction

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:26:48.756672Z digest=sha256:7b6a841118df3e31c2080a6da1a498f8f1e10529b802350b6245ca114da568b7

Observation 828e39d4-f5d7-4fa6-b0e1-667328b1dc34 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T16:26:48.760279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:26:48.760279Z digest=sha256:fe1d0103808a361a9dfbcbd5cd747c66e57fe44eef805734b4be1f7dfd177d6b

Observation 71dc6786-089a-44d0-af56-97bc2990d45f · outbound

This paper cites General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T16:26:48.764056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:26:48.764056Z digest=sha256:6accd5580e620bbc5aae10e863e5ddeefe9c5d8ea7d8d7aecfdd547a07873940

Observation eac65ad8-170e-472e-9162-8d6283a19aad · outbound

This paper cites an unresolved cited work.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T16:26:48.767938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:26:48.767938Z digest=sha256:d89a1ace8a0656bbe8d3359d685baedafac1395b4545472fbb737727cbf5dcde

Observation f659b4d5-3f96-4271-b15b-e7d22403a8a3 · outbound

This paper cites OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T16:26:48.771448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:26:48.771448Z digest=sha256:6efcc179ef8cd04c113069f874e4a3c880bbb9ac0a3885680bf739cc54867c7d

Observation 9580e5ba-eb34-42d5-9fd0-42a4ef004fc2 · outbound

This paper cites an unresolved cited work.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T16:26:48.774917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:26:48.774917Z digest=sha256:b2120b1f2ac3c5430f2e756444e8ba74d46b9c62e2dfe5a601cf1e6037da50a5

Pith citing papers

No inbound Pith citation observations are available.