Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.11975.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:21:57.620224Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T11:05:09.686230Z
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 325fd5e5-365a-4357-bc6f-e6fc30b95d2d · inbound
On Memory Construction and Retrieval for Personalized Conversational Agents cites this paper.
On Memory Construction and Retrieval for Personalized Conversational Agents Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:46:27.989712Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5fc4de2-bec4-44a9-9c03-1d7596bc3e05 · inbound
From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs cites this paper.
From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T11:05:09.689696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4811d34f-3669-4e90-b209-9ec5b9dff87e · inbound
Role-Playing Evaluation for Large Language Models cites this paper.
Role-Playing Evaluation for Large Language Models Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:21:57.620224Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7105fa18-4ab3-4f46-91f3-535e00b80480 · inbound
MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents cites this paper.
MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agents Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T15:31:09.791910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3abf77ef-3ebb-4998-affa-078ab1d08651 · inbound
SOMA: Efficient Multi-turn LLM Serving via Small Language Model cites this paper.
SOMA: Efficient Multi-turn LLM Serving via Small Language Model Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T01:42:04.215441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.