Paper Citation Record · LEDGER

Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2409.04701.

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

pith.paper-citation-record.v1
2409.04701 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 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 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:46:52.739040Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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External citation measurements

4
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8f4f01c5-d376-4089-a658-9f48eec057df · inbound

EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation cites this paper.

EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T14:00:33.720833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b02dc63a-cdf1-45d0-be8f-b4299f38740e · inbound

GeAR: Generation Augmented Retrieval cites this paper.

GeAR: Generation Augmented Retrieval Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T22:11:10.439657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab6816f3-9da1-4de0-8fdc-626f2a84d751 · inbound

LLM as HPC Expert: Extending RAG Architecture for HPC Data cites this paper.

LLM as HPC Expert: Extending RAG Architecture for HPC Data Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T19:59:20.873324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e274da5-4dd9-4d23-8b4a-9178cea1a75c · inbound

Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented Generation cites this paper.

Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented Generation Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T05:46:52.739040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 607289d1-7d14-491a-a40a-0a6d3615de11 · inbound

Retrieval Augmented Decision-Making: A Requirements-Driven, Multi-Criteria Framework for Structured Decision Support cites this paper.

Retrieval Augmented Decision-Making: A Requirements-Driven, Multi-Criteria Framework for Structured Decision Support Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:47.334689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afb0919b-31a5-4403-aa3f-045505a11495 · inbound

CoRet: Improved Retriever for Code Editing cites this paper.

CoRet: Improved Retriever for Code Editing Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:31.585196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bae5789-f7e9-4879-ad2f-7be9bb0ecaac · inbound

Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings cites this paper.

Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:37.173417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1c4f88b-a3a4-4dea-b468-f8ca7bdfed86 · inbound

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

MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:22.602494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe1596e0-b8bd-4a31-a0e9-c65923edc99a · inbound

Should We Still Pretrain Encoders with Masked Language Modeling? cites this paper.

Should We Still Pretrain Encoders with Masked Language Modeling? Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:32:07.634367Z

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 b7620b60-7615-4940-b761-a3d6c5ba6bd2 · inbound

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data cites this paper.

LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Data Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T10:43:50.118091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6441893c-5dbf-494b-b302-568b6330d6e3 · inbound

Knowledge-Embedded and Hypernetwork-Guided Few-Shot Substation Meter Defect Image Generation Method cites this paper.

Knowledge-Embedded and Hypernetwork-Guided Few-Shot Substation Meter Defect Image Generation Method Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T10:43:42.223351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cddb2e4-67d0-4a19-89ce-ccb4bfc0402b · inbound

Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval cites this paper.

Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:31:04.315061Z

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 b3607b9b-7a4b-420a-a8eb-1da11d011dbf · inbound

SPIRE: Structure-Preserving Interpretable Retrieval of Evidence cites this paper.

SPIRE: Structure-Preserving Interpretable Retrieval of Evidence Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T03:37:13.960980Z

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 c1551767-024f-4310-8e36-69cffa56c4ba · inbound

Reducing Redundancy in Retrieval-Augmented Generation through Chunk Filtering cites this paper.

Reducing Redundancy in Retrieval-Augmented Generation through Chunk Filtering Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:51:33.688605Z

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 64258219-92d4-4c11-a459-027c5190ed3b · inbound

Qwen Goes Brrr: Off-the-Shelf RAG for Ukrainian Multi-Domain Document Understanding cites this paper.

Qwen Goes Brrr: Off-the-Shelf RAG for Ukrainian Multi-Domain Document Understanding Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:31:25.286534Z

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 2a45ffcf-6c5d-4c29-85ab-de67b2c81b70 · inbound

IdioLink: Retrieving Meaning Beyond Words Across Idiomatic and Literal Expressions cites this paper.

IdioLink: Retrieving Meaning Beyond Words Across Idiomatic and Literal Expressions Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:04:39.604235Z

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 fe14c051-8d41-4458-a752-a1ff973090b5 · inbound

Chunking Methods on Retrieval-Augmented Generation - Effectiveness Evaluation Against Computational Cost and Limitations cites this paper.

Chunking Methods on Retrieval-Augmented Generation - Effectiveness Evaluation Against Computational Cost and Limitations Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-28T18:42:29.520964Z

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 a607de2b-55bd-4289-9141-0c519b0fa5b0 · inbound

Efficient RAG with Intent-Aware Retrieval and Semantics-Preserving Chunking cites this paper.

Efficient RAG with Intent-Aware Retrieval and Semantics-Preserving Chunking Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T20:56:13.832403Z

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 510faa45-9d0a-4d72-8ecf-4d02e234c849 · inbound

EASE-TTT: Evidence-Aligned Selective Test-Time Training for Long-Context Question Answering cites this paper.

EASE-TTT: Evidence-Aligned Selective Test-Time Training for Long-Context Question Answering Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T17:17:15.110769Z

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 3d01698a-fd5f-4230-b2b6-44debdfe38cc · inbound

Lost in a Single Vector: Improving Long-Document Retrieval with Chunk Evidence Aggregation cites this paper.

Lost in a Single Vector: Improving Long-Document Retrieval with Chunk Evidence Aggregation Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:19:13.217097Z

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 c8776c16-f326-4f9c-81d3-ecf47ca1f263 · inbound

Improving Long-Context Retrieval with Multi-Prefix Embedding cites this paper.

Improving Long-Context Retrieval with Multi-Prefix Embedding Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T12:39:49.183603Z

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 ab67ba42-7c21-4413-a5c7-d3c8cad17abc · inbound

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts cites this paper.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:57:42.262653Z

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 05fd7c64-495a-4834-9002-282c0731209a · inbound

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts cites this paper.

Evaluating Chunking Strategies for Retrieval-Augmented Generation on Academic Texts Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-07-03T06:57:42.541870Z

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 71a8316c-4b90-469c-9eca-333ebc1253a6 · inbound

CMDR: Contextual Multimodal Document Retrieval cites this paper.

CMDR: Contextual Multimodal Document Retrieval Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T20:35:34.380019Z

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 47e4755c-c157-4b7a-9c3d-9bd80b1d6f4e · inbound

Right Reset: Chunking by Prefix Removal cites this paper.

Right Reset: Chunking by Prefix Removal Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T19:44:38.344200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.