Paper Citation Record · LEDGER

Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2306.07863.

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

pith.paper-citation-record.v1
2306.07863 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:53:59.231906Z

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

3
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 1d2db5a4-9838-4914-a662-47d43cc46f68 · inbound

Large Language Model-Brained GUI Agents: A Survey cites this paper.

Large Language Model-Brained GUI Agents: A Survey Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Reference 210

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T11:08:27.760271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fec81309-e0f3-4b9f-9126-c75617c93263 · inbound

Can Past Experience Accelerate LLM Reasoning? cites this paper.

Can Past Experience Accelerate LLM Reasoning? Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:59.231906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e12d5e29-5740-4a4b-8a13-aaa2a984428b · inbound

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems cites this paper.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T05:39:58.966727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6596f05-b1b9-488f-a9be-a5dda30a3151 · inbound

LIFELONG SOTOPIA: Evaluating Social Intelligence of Language Agents Over Lifelong Social Interactions cites this paper.

LIFELONG SOTOPIA: Evaluating Social Intelligence of Language Agents Over Lifelong Social Interactions Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T00:49:29.419797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23d801d6-93c8-4438-92cf-ac29f396efb2 · inbound

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis cites this paper.

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Reference 163

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:40:51.161041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a226e232-600b-4d79-9841-dfa4efea1697 · inbound

Real-Time Procedural Learning From Experience for AI Agents cites this paper.

Real-Time Procedural Learning From Experience for AI Agents Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:24:04.622685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f8f69ce3-29b5-4d23-b319-d916cbb960d0 · inbound

MemEvolve: Meta-Evolution of Agent Memory Systems cites this paper.

MemEvolve: Meta-Evolution of Agent Memory Systems Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-15T22:18:15.263116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f3cf02ac-ec70-4967-b7b7-4e9ef5904340 · inbound

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

Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Reference 197

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:20:59.530201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5479c55f-079b-4502-849a-b4999846ba21 · inbound

Securing Computer-Use Agents: A Unified Architecture-Lifecycle Framework for Deployment-Grounded Reliability cites this paper.

Securing Computer-Use Agents: A Unified Architecture-Lifecycle Framework for Deployment-Grounded Reliability Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Reference 64

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:35:56.438106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 73cbed41-6413-414e-bb84-6d577d560bd2 · inbound

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications cites this paper.

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:20:57.599533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5f037875-0676-44d5-aa03-80d378962fb7 · inbound

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications cites this paper.

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T23:19:15.205756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 869fe1e2-a2af-4cd3-9926-455f38532362 · inbound

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications cites this paper.

A Comprehensive Survey on Agent Skills: Taxonomy, Techniques, and Applications Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T23:25:07.324805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 326be636-7543-41f6-8998-fa8b41967dbe · inbound

Is One Score Enough? Rethinking the Evaluation of Sequentially Evolving LLM Memory cites this paper.

Is One Score Enough? Rethinking the Evaluation of Sequentially Evolving LLM Memory Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:47:40.476415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 570e6b5a-5fd5-408b-835b-03036f0a8156 · inbound

EXG: Self-Evolving Agents with Experience Graphs cites this paper.

EXG: Self-Evolving Agents with Experience Graphs Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Reference 56

Resolution: malformed identifier; arxiv_id, observed 2026-05-19T22:17:49.390711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e3579bc4-f6d5-40a4-b4ee-16a616a53c51 · inbound

ElasticMem: Latent Memory as a Learnable Resource for LLM Agents cites this paper.

ElasticMem: Latent Memory as a Learnable Resource for LLM Agents Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Reference 55

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T00:22:51.819037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7e65fccd-5266-4dc0-bc83-a1fbeecaea05 · inbound

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents cites this paper.

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T08:49:41.377599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 70eeedce-c107-4d74-b38c-97730fd84284 · inbound

BaRA: Budget-constrained and Reliable Web Data Collection Agent cites this paper.

BaRA: Budget-constrained and Reliable Web Data Collection Agent Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T01:59:24.709594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd043bdc-7761-4e5a-8528-b20717afb824 · inbound

PraMem: Practice-derived Experiential Memory for Long-horizon Behavior Prediction cites this paper.

PraMem: Practice-derived Experiential Memory for Long-horizon Behavior Prediction Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T06:25:23.863962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21a439e0-3241-45fa-a5c0-57b131ed9528 · inbound

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs cites this paper.

Bridging Inference-Time Scaling and Episodic Memory with Action-Centric Graphs Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-01T07:48:49.328268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.