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Paper Citation Record · LEDGER

LongRoPE2: Near-Lossless LLM Context Window Scaling

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.20082.

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

pith.paper-citation-record.v1
2502.20082 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:53:48.848391Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T19:03:51.825416Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 001241ca-8ea9-4d1a-988e-3258cc5c7e6f · inbound

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations cites this paper.

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations LongRoPE2: Near-Lossless LLM Context Window Scaling

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T12:53:48.848391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:53:48.848391Z digest=sha256:5ccd0ac58232d18fbe2f796923f721bc254f991239b8a80584c32413b28e10c6

Observation e0b97536-1d38-4cec-920f-bd53d549d4e3 · inbound

Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training cites this paper.

Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training LongRoPE2: Near-Lossless LLM Context Window Scaling

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:30:29.371511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T23:27:49.126341Z digest=sha256:d95413437b989c91e906eee21b95280ffa151354833df0653f5cba2907dd7856

Observation 1d025903-056e-4655-914a-3f23dad7422a · inbound

COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling cites this paper.

COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling LongRoPE2: Near-Lossless LLM Context Window Scaling

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:41:05.679432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T01:14:16.831333Z digest=sha256:c19559f4704552a10a4b7e20dd07fc9b286399b6eb5ea367f2148e248d749ce8

Observation ecd34906-911a-4262-8a5b-1f7e9c7b3bfe · inbound

Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling cites this paper.

Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling LongRoPE2: Near-Lossless LLM Context Window Scaling

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:03:51.826877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-29T04:59:00.304723Z digest=sha256:7218e9eb50a35a52dab4d98b30000805668f1cd5b4afcd7a36062672df18645a

Observation ccb51f16-466e-40c4-bb97-49d391759ce0 · inbound

AdaRoPE: Not All Attention Heads Should Rotate and Scale Equally cites this paper.

AdaRoPE: Not All Attention Heads Should Rotate and Scale Equally LongRoPE2: Near-Lossless LLM Context Window Scaling

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T12:17:16.325986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:17:16.325986Z digest=sha256:b35bf460a25b8ec878c4b3191ca20744e955dafe70c275fcff711a29b4ffff59