Paper Citation Record · LEDGER

State Compression in Two-Agent LLM Relays: A Closed-World Study of Constraint Preservation

As of 17 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.18265.

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

pith.paper-citation-record.v1
2607.18265 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:36:49.852907Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ce37e68d-ddb3-4ab1-af6f-d4a2f2402d06 · outbound

This paper cites Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework.

State Compression in Two-Agent LLM Relays: A Closed-World Study of Constraint Preservation Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T13:36:48.854058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2590a806-36d0-4c1f-98b3-1e89cc96911e · outbound

This paper cites Lightweight LLM Agent Memory with Small Language Models.

State Compression in Two-Agent LLM Relays: A Closed-World Study of Constraint Preservation Lightweight LLM Agent Memory with Small Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T13:36:48.927975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7a6f069-a649-4297-a52a-2aa3f7b51abb · outbound

This paper cites ACON: Optimizing Context Compression for Long-horizon LLM Agents.

State Compression in Two-Agent LLM Relays: A Closed-World Study of Constraint Preservation ACON: Optimizing Context Compression for Long-horizon LLM Agents

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T13:36:48.991605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 155ae160-2ec0-4a33-8c07-2ea154283955 · outbound

This paper cites Compressing context to enhance inference efficiency of large language models,.

State Compression in Two-Agent LLM Relays: A Closed-World Study of Constraint Preservation Compressing context to enhance inference efficiency of large language models,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T13:36:49.058856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbd0bc7d-fa63-492c-b435-f2c12dd9c520 · outbound

This paper cites LLMLingua: Compressing prompts for accelerated inference of large language models,.

State Compression in Two-Agent LLM Relays: A Closed-World Study of Constraint Preservation LLMLingua: Compressing prompts for accelerated inference of large language models,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T13:36:49.175393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d932a67-249b-43f2-8d91-968dd4c7a4b4 · outbound

This paper cites LongLLMLingua: Accelerating and enhancing LLMs in long context scenarios via prompt compression,.

State Compression in Two-Agent LLM Relays: A Closed-World Study of Constraint Preservation LongLLMLingua: Accelerating and enhancing LLMs in long context scenarios via prompt compression,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T13:36:49.235646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48c66e9e-ff9e-4aba-8e16-3ad2ed032c85 · outbound

This paper cites Lost in the middle: How language models use long contexts,.

State Compression in Two-Agent LLM Relays: A Closed-World Study of Constraint Preservation Lost in the middle: How language models use long contexts,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T13:36:49.329030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d78d6c2-b5e4-4f14-b7c0-86296768d592 · outbound

This paper cites Azure OpenAI Service documentation,.

State Compression in Two-Agent LLM Relays: A Closed-World Study of Constraint Preservation Azure OpenAI Service documentation,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T13:36:49.401541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb740095-3168-43aa-ba25-8083820208d9 · outbound

This paper cites Azure OpenAI Service documentation,.

State Compression in Two-Agent LLM Relays: A Closed-World Study of Constraint Preservation Azure OpenAI Service documentation,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T13:36:49.482857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34ea21db-af59-4802-bbbd-d5ccf4b72e00 · outbound

This paper cites Mitigating Hallucination with ZeroG: An Advanced Knowledge Management Engine.

State Compression in Two-Agent LLM Relays: A Closed-World Study of Constraint Preservation Mitigating Hallucination with ZeroG: An Advanced Knowledge Management Engine

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T13:36:49.596024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b610889-9c09-486e-bb12-b025926ee6fd · outbound

This paper cites PICARD: Parsing incrementally for constrained auto-regressive decoding from language models,.

State Compression in Two-Agent LLM Relays: A Closed-World Study of Constraint Preservation PICARD: Parsing incrementally for constrained auto-regressive decoding from language models,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T13:36:49.689659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00a97132-8e14-4335-bbf1-5fa2e5c1c7bc · outbound

This paper cites Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering.

State Compression in Two-Agent LLM Relays: A Closed-World Study of Constraint Preservation Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T13:36:49.750043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51b9ae17-d878-46ab-a870-14d81b1d5d69 · outbound

This paper cites Long-context LLMs Struggle with Long In-context Learning.

State Compression in Two-Agent LLM Relays: A Closed-World Study of Constraint Preservation Long-context LLMs Struggle with Long In-context Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T13:36:49.852907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.