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Paper Citation Record · LEDGER

Anchor-based Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.07616.

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

pith.paper-citation-record.v1
2402.07616 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:13:38.281968Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:16:30.548575Z

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 10fa111a-1654-433b-aa75-9b6ca2827857 · inbound

Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents cites this paper.

Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents Anchor-based Large Language Models

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-08T14:13:38.281968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:13:38.281968Z digest=sha256:3a9bd89b0cae9a7cca5005454ba2285645021452e8c064f6bc2f0d87ce2d3d64

Observation 3b816f08-23b8-4b54-96bb-a3748789269a · inbound

KV-Latent: Dimensional-level KV Cache Reduction with Frequency-aware Rotary Positional Embedding cites this paper.

KV-Latent: Dimensional-level KV Cache Reduction with Frequency-aware Rotary Positional Embedding Anchor-based Large Language Models

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:20:29.786160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T17:20:27.080242Z digest=sha256:9f94cf217ece8c1cc628b42ab972c4f979385b438748a3401dfae6093ebee84a