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Paper Citation Record · LEDGER

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models

As of 11 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2607.05803.

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

pith.paper-citation-record.v1
2607.05803 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-08T23:58:19.040016Z

measured 35 of 35 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

35 of 35 outbound references displayed

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  • verified fuzzy8
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3541622b-86ca-4ff9-8919-7e6e41ae3099 · outbound

This paper cites an unresolved cited work.

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Unresolved cited work

Reference 1

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Observation 921d9dfe-f0ca-4a07-9579-724dc946f20a · outbound

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Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Unresolved cited work

Reference 2

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Observation ed900957-b30f-49b7-b535-9790ffd1c260 · outbound

This paper cites arXiv:2602.16609 [cs.CL] https://arxiv.org/abs/2602.16609.

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models arXiv:2602.16609 [cs.CL] https://arxiv.org/abs/2602.16609

Reference 3

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Observation 33c9906f-fb6a-4ce9-b495-2f810b6107c0 · outbound

This paper cites Chanpuriya, C.

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Chanpuriya, C

Reference 4

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Observation d888d0c3-c62b-43ed-ad78-21a2319b0139 · outbound

This paper cites Chanpuriya, R.

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Chanpuriya, R

Reference 5

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Observation aa2a8397-520d-48d7-80b3-d3c1527a5ab1 · outbound

This paper cites Formal, B.

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Formal, B

Reference 7

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Observation 74f8b281-282d-4557-a32e-744fe91229c5 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Gaussian Error Linear Units (GELUs)

Reference 8

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Observation aeca42eb-6836-4a8c-b954-aa8fe93ea094 · outbound

This paper cites Hofstätter, O.

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Hofstätter, O

Reference 9

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This paper cites LEMUR: Learned Multi-Vector Retrieval.

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models LEMUR: Learned Multi-Vector Retrieval

Reference 10

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This paper cites Discounted Cumulated Gain Based Evaluation of Multiple-Query IR Sessions.

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Discounted Cumulated Gain Based Evaluation of Multiple-Query IR Sessions

Reference 12

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Observation 2e870047-cb93-4562-bc09-52846cd6bcbe · outbound

This paper cites Multi-Vector Embeddings are Provably More Expressive than Single Vector Embeddings.

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Multi-Vector Embeddings are Provably More Expressive than Single Vector Embeddings

Reference 13

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Observation d5902194-d733-4791-b044-bc988875086f · outbound

This paper cites Efficient Document Ranking with Learnable Late Interactions.

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Efficient Document Ranking with Learnable Late Interactions

Reference 14

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Observation 97376a59-26fe-4f06-ba86-cd404efaf76a · outbound

This paper cites Ellie Pavlick and Tom Kwiatkowski.

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Ellie Pavlick and Tom Kwiatkowski

Reference 15

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Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models 2020 , isbn =

Reference 16

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Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Killingback, H

Reference 17

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Observation bd5da868-cafa-420e-9db9-757424fe474e · outbound

This paper cites A Unified Model and Document Representation for On-Device Retrieval-Augmented Generation.

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models A Unified Model and Document Representation for On-Device Retrieval-Augmented Generation

Reference 18

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Observation b3ef5407-062a-43d1-a296-2b9a987ab556 · outbound

This paper cites arXiv:2602.05062 [cs.IR] https://arxiv.org/abs/2602.05062.

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models arXiv:2602.05062 [cs.IR] https://arxiv.org/abs/2602.05062

Reference 19

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Observation e80324ed-dd49-4d49-a724-fc55444b9f7c · outbound

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Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Loshchilov and F

Reference 20

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Observation 63b75cb5-7329-4b19-81ee-9774c37f206f · outbound

This paper cites Sparse, Dense, and Attentional Representations for Text Retrieval.

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Sparse, Dense, and Attentional Representations for Text Retrieval

Reference 21

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Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models MacAvaney, A

Reference 22

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Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Menon, S

Reference 23

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Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Paszke et al

Reference 24

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Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Unresolved cited work

Reference 26

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Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models ISBN 038719889X

Reference 27

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This paper cites On strengths and limitations of single-vector embeddings.arXiv preprint arXiv:2603.29519,.

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models On strengths and limitations of single-vector embeddings.arXiv preprint arXiv:2603.29519,

Reference 28

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Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Santhanam, O

Reference 29

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Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models URL https://doi.org/ 10.1145/3511808.3557325

Reference 30

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Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models C ol BERT v2: Effective and Efficient Retrieval via Lightweight Late Interaction

Reference 31

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Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Sourty, A

Reference 32

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Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models CRISP: Clustering Multi-Vector Representations for Denoising and Pruning

Reference 33

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This paper cites Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Reference 34

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Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models On the theoretical limitations of embedding-based retrieval

Reference 35

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Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Unresolved cited work

Reference 36

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Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models Transformers: State-of-the-Art Natural Language Processing

Reference 37

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Observation 038eb559-48db-411d-971e-ae3f71afe7e0 · outbound

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Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval Models ISBN 9781450360142

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-09T00:05:47.856737Z

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=2026-07-08T23:58:19.040016Z digest=sha256:061a8468bbc2275708ab255fc9d2dfbed5637aa95f32b45bbe7da19150f903f9

Pith citing papers

No inbound Pith citation observations are available.