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Paper Citation Record · LEDGER

Anchor-based Large Language Models

As of 10 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 2026-08-10T06:31:04.303077+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 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

0
pith, observed 2026-08-10T05:30:23.456663Z

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:e5d4288e230cc1190fe9d463b67809853a0871a34e01cc6dc22d726853b34cda

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T17:20:27.080242Z digest=sha256:97b447154d8e9891aa33b5ffdd83f688c5c50b5f701298b785196d8f17a8b2ea