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Paper Citation Record · LEDGER

Human-inspired Perspectives: A Survey on AI Long-term Memory

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.00489.

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

pith.paper-citation-record.v1
2411.00489 v2

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 2026-08-06T06:34:29.942622+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:15:50.332804Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a512de73-0b4a-4f83-8b7a-dd9cdedb9f4f · inbound

What Deserves Memory: Adaptive Memory Distillation for LLM Agents cites this paper.

What Deserves Memory: Adaptive Memory Distillation for LLM Agents Human-inspired Perspectives: A Survey on AI Long-term Memory

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:11:57.062301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T01:10:47.164918Z digest=sha256:98d8da57321ec653808b0eb5b0460566dc9bc120d470190f2286ea70116cec48

Observation b6bc4f73-7d25-4935-981e-51858285e113 · inbound

Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures cites this paper.

Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures Human-inspired Perspectives: A Survey on AI Long-term Memory

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T20:15:50.332804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:15:50.332804Z digest=sha256:cdcea9ab9a207373e28a298c9c5023b8749727b4e8c7e73d24f22ac96133dbfc

Observation 4c1728df-5fd0-46c6-a5b7-641341582061 · inbound

Toward User Preference Alignment in LLM Recommendation via Explicit Context Feedback cites this paper.

Toward User Preference Alignment in LLM Recommendation via Explicit Context Feedback Human-inspired Perspectives: A Survey on AI Long-term Memory

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-06-29T09:33:17.318706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T09:30:36.347916Z digest=sha256:9c3793de676091c7881b83db6ec7ba982a9362260bab95cb6283b3a43f2fe26a

Observation 4865fcf7-f3fa-4c6a-85e5-729080107abe · inbound

How LoRA Remembers? A Parametric Memory Law for LLM Finetuning cites this paper.

How LoRA Remembers? A Parametric Memory Law for LLM Finetuning Human-inspired Perspectives: A Survey on AI Long-term Memory

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T07:33:13.232040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-29T07:23:53.695773Z digest=sha256:d6c69df40aff1bb802c217254000dd80f6cd3d1f523eb03b787b78c857f13e8f

Observation 261cb8bb-1ab7-4fc0-a5ac-0be7ff1d25a5 · inbound

Expanding Spatial and Temporal Context for Robotic Imitation Learning With Scene Graphs cites this paper.

Expanding Spatial and Temporal Context for Robotic Imitation Learning With Scene Graphs Human-inspired Perspectives: A Survey on AI Long-term Memory

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:16:13.631783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T17:24:02.843529Z digest=sha256:80725d7975088f0dfaa8edd8338d4758fb42c3ad12e8cebc3a4f9e7a2e26c915