Paper Citation Record · LEDGER

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs

As of 5 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:2604.07737.

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

pith.paper-citation-record.v1
2604.07737 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T18:33:10.326034Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T10:30:11.309910Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-22T10:31:24.990397Z

Reference resolution

18 of 18 outbound references displayed

verified exact2
verified fuzzy1
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db3ab9d4-ef93-4182-8c10-c28eb325c167 · outbound

This paper cites MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning.

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:25:50.477490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ccd1ac75-5a0a-4e2b-96c2-c71fc7d6ce7c · outbound

This paper cites ReTool: Reinforcement Learning for Strategic Tool Use in LLMs.

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T18:42:39.160125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ba1ec132-9c18-452d-87d3-b8185467883f · outbound

This paper cites Qwen3 Technical Report.

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs Qwen3 Technical Report

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-11T00:25:50.465679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7a30c9ca-b30b-4a3e-9028-38f115e6f65e · outbound

This paper cites an unresolved cited work.

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:23:15.871618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation dfef13b3-989f-4b1b-afe4-5c3964408243 · outbound

This paper cites an unresolved cited work.

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:23:15.874191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f9b887a6-e6b0-4f78-9527-0e7ac634df87 · outbound

This paper cites an unresolved cited work.

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:23:15.879045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6dd2366f-9b15-4231-9881-26906f83f0e1 · outbound

This paper cites an unresolved cited work.

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:23:15.876543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 08b16b78-9985-4b5b-a447-57b1b769bba7 · outbound

This paper cites an unresolved cited work.

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:23:15.890028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c9ec7c5c-3824-400f-b974-4e67f05864e5 · outbound

This paper cites an unresolved cited work.

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:23:15.892095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 554c46ec-6f4b-4524-8867-abb746f8bce3 · outbound

This paper cites an unresolved cited work.

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:23:15.899635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 45f8fdff-b068-4bd9-a38f-60780c206c06 · outbound

This paper cites an unresolved cited work.

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:23:15.897000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 49a44147-64e7-4ee9-8ac3-771fa9d43d5d · outbound

This paper cites an unresolved cited work.

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:23:15.881470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 912c34b0-c0bd-4164-8ad0-5db46c5d06bd · outbound

This paper cites Formodel size analysis, we evaluate across dif- ferent parameter scales.

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs Formodel size analysis, we evaluate across dif- ferent parameter scales

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T18:23:15.902163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ccb781f1-8c45-4ad1-ba5d-4d43d6b40a59 · outbound

This paper cites an unresolved cited work.

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:23:15.869277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cd019cce-d5fc-4b5b-b3ce-13892867366f · outbound

This paper cites an unresolved cited work.

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:23:15.885706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 840dd753-5500-4ec8-8275-9af75b5c8e7d · outbound

This paper cites an unresolved cited work.

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:23:15.887653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b02f1b5d-6bf5-4f36-9ad1-5c3e0cc15a5a · outbound

This paper cites an unresolved cited work.

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:23:15.894299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a98f62a0-3630-4835-880e-2b9bb5f88c9f · outbound

This paper cites an unresolved cited work.

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-05-16T18:23:15.883617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 0b05ab3e-22db-4a9e-b75c-79f437d8cdff · inbound

SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation cites this paper.

SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-05-22T10:31:24.993262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.