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Paper Citation Record · LEDGER

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval

As of 9 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2608.06060.

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

pith.paper-citation-record.v1
2608.06060 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:30:14.608010Z

measured 17 of 17 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

17 of 17 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f1dddab-eb44-4019-8c3f-db21b1a3070f · outbound

This paper cites MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings.

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings

Reference 1

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no resolver link, observed 2026-08-07T18:30:14.527131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:30:14.527131Z digest=sha256:940ef1c2952a8af0c80ea79b7cc038871faca9b05b7b56da18fc6489fbfce79b

Observation 742b9810-5892-4143-b4ab-5b95769784c3 · outbound

This paper cites Embed-rl: Reinforcement learning for reasoning-driven multimodal embeddings.arXiv preprint arXiv:2602.13823,.

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval Embed-rl: Reinforcement learning for reasoning-driven multimodal embeddings.arXiv preprint arXiv:2602.13823,

Reference 6

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no resolver link, observed 2026-08-07T18:30:14.550576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:30:14.550576Z digest=sha256:d6e2c28d3204a18011add369d6cd823bc11485237f41b33febaefe8d31b14ac6

Observation 40c57ff9-17ae-4ee2-a47f-c7cc6957cb82 · outbound

This paper cites VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks.

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks

Reference 7

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no resolver link, observed 2026-08-07T18:30:14.554873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:30:14.554873Z digest=sha256:b8201dc1cbbed6324dd429a44fc64f371ef78229e9825b05c6b68bf94cb8daf5

Observation 8ba9a618-5492-42cf-be31-7c0106c94e0c · outbound

This paper cites Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval.

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval

Reference 8

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no resolver link, observed 2026-08-07T18:30:14.559722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:30:14.559722Z digest=sha256:6a1e91dcdb45ad45f3813c32ef280faad1062a955ecac54c8cfdb4d2a0a5a4b4

Observation 2d6f7373-29c3-4b45-b6a1-990da47f48b2 · outbound

This paper cites Ume-r1: Exploring reasoning- driven generative multimodal embeddings.arXiv preprint arXiv:2511.00405,.

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval Ume-r1: Exploring reasoning- driven generative multimodal embeddings.arXiv preprint arXiv:2511.00405,

Reference 9

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no resolver link, observed 2026-08-07T18:30:14.564287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:30:14.564287Z digest=sha256:9a29d47b69a638ce4dcb1a4ec09ddf7b12f79c84d3ed8c9384dd9efee4022360

Observation ab78b92b-216d-47a3-bc02-d8a657440da9 · outbound

This paper cites VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents.

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documents

Reference 11

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no resolver link, observed 2026-08-07T18:30:14.572507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:30:14.572507Z digest=sha256:8a53b2447b5a7f2f4dbb26d236c81ec070386673575f8241bd3f32f105f04165

Observation 85f421ea-4091-4a7b-82a6-397c160dea31 · outbound

This paper cites VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models.

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models

Reference 13

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no resolver link, observed 2026-08-07T18:30:14.584902Z

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source=pdf_text observed=2026-08-07T18:30:14.584902Z digest=sha256:bd752b33c5058621fca4cdd2e66c4d39c9c01f7a14fbb2f490ae870802db4275

Observation 6135702c-b638-46ac-b88a-cda1b3231667 · outbound

This paper cites MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval.

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval

Reference 14

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no resolver link, observed 2026-08-07T18:30:14.590920Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T18:30:14.590920Z digest=sha256:28a338da295f36345ed643cef043811451ea90868dadd00149b18e0355d48432

Observation ad2330b3-fa39-44ba-99bb-fd0df4870258 · outbound

This paper cites Qwen3 Technical Report.

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval Qwen3 Technical Report

Reference 15

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no resolver link, observed 2026-08-07T18:30:14.598702Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:30:14.598702Z digest=sha256:77cbef6ed59a1ede2929f1307761918554d4b2a44bf0bfcdae87712a152e396f

Observation a5ffab50-e40f-431a-a8d9-172804f68d5a · outbound

This paper cites GME: Improving Universal Multimodal Retrieval by Multimodal LLMs.

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval GME: Improving Universal Multimodal Retrieval by Multimodal LLMs

Reference 16

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no resolver link, observed 2026-08-07T18:30:14.603232Z

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source=pdf_text observed=2026-08-07T18:30:14.603232Z digest=sha256:adbbceeb0a7b930a43dfdb94dc10a717eb31948bc41ec95a7ff7dfe15e3497a4

Observation a7f1fb02-e0e9-475e-aa65-791472167c6d · outbound

This paper cites MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval.

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval

Reference 17

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no resolver link, observed 2026-08-07T18:30:14.608010Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T18:30:14.608010Z digest=sha256:805fbd6d385ee1c0c0d190e223c7913c184426a0762596a4a8aa813c7d474b6b

Observation 6efd0bf0-e9c2-4c1d-9862-307840b2d3d5 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 2021

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no resolver link, observed 2026-08-07T18:30:14.577817Z

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source=pdf_text observed=2026-08-07T18:30:14.577817Z digest=sha256:7868d2754a72e07f4229a7ffd589dcd0a8d5ebe65e6cdce4163f455023a4a6f7

Observation 422daba4-f477-4d6d-80ae-2107f7d2da6a · outbound

This paper cites Rzenembed: Towards comprehensive multimodal retrieval.arXiv preprint arXiv:2510.27350,.

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval Rzenembed: Towards comprehensive multimodal retrieval.arXiv preprint arXiv:2510.27350,

Reference 2022

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no resolver link, observed 2026-08-07T18:30:14.545936Z

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source=pdf_text observed=2026-08-07T18:30:14.545936Z digest=sha256:e23b77e1a5db38f24da3c029c2b4a32d93012a903f649da9b42d5fb6766b7df9

Observation 285969cf-af0f-4145-9132-eb5211656639 · outbound

This paper cites Rematch: Boosting representation through matching for multimodal retrieval.arXiv preprint arXiv:2511.19278, 2025a.

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval Rematch: Boosting representation through matching for multimodal retrieval.arXiv preprint arXiv:2511.19278, 2025a

Reference 2023

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no resolver link, observed 2026-08-07T18:30:14.568558Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:30:14.568558Z digest=sha256:c37ec795d89ca89f7381a91e07a57195a3121e2eea99de02a791a34c8714640c

Observation 2baeb1c9-e4c8-4cba-a3e4-4d3d9e67e6e8 · outbound

This paper cites Think then embed: Generative context improves multimodal embedding.arXiv preprint arXiv:2510.05014,.

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval Think then embed: Generative context improves multimodal embedding.arXiv preprint arXiv:2510.05014,

Reference 2024

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no resolver link, observed 2026-08-07T18:30:14.532201Z

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source=pdf_text observed=2026-08-07T18:30:14.532201Z digest=sha256:d2b18d0d7125e34c0a84c358002b05ed4dffdfdf8debc88e8eb913ff62bf6bd8

Observation 2d898673-6972-4693-bf25-bfa801d33b80 · outbound

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

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval ColPali: Efficient Document Retrieval with Vision Language Models

Reference 2025

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no resolver link, observed 2026-08-07T18:30:14.536725Z

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source=pdf_text observed=2026-08-07T18:30:14.536725Z digest=sha256:193a10df80c70e458455ff7efabeff72f425d725a4ed2313fb5899c67edd002a

Observation ea4e211a-a7be-4b94-afdd-2a8fbb05409f · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2026

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Pith citing papers

No inbound Pith citation observations are available.