Pith. sign in

Paper Citation Record · LEDGER

PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows

As of 9 August 2026, this Paper Citation Record lists 1 of 1 outbound references and 6 inbound Pith citation observations for arXiv:2508.02866.

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

pith.paper-citation-record.v1
2508.02866 v3

Coverage vector

measured 1 of 1 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:51:44.043188Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:45:47.253697Z

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

1 of 1 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 973c06da-f1f7-4f5b-9078-23ad1b823916 · outbound

This paper cites Semantic Network Analysis of Achievement Standards in Physics of 2022 Revised Curriculum.

PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows Semantic Network Analysis of Achievement Standards in Physics of 2022 Revised Curriculum

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-06T04:51:44.229603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T04:51:44.043188Z digest=sha256:910cd9453e65be5fef0b11bd6d1c72cc167fad792fae8eec883ac1c75f0082a7

Pith citing papers

Observation 8cdab798-51e5-475f-a656-c7cf0c56b600 · inbound

Security Considerations for Multi-agent Systems cites this paper.

Security Considerations for Multi-agent Systems PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows

Reference 291

Resolution
verified exact
arxiv_id, observed 2026-05-15T14:15:55.765283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T14:12:14.160789Z digest=sha256:f31ece1742a591067e50a70a1e6f833496d0814a6f8653f7de1393c398c9c6ad

Observation 482259bb-d48b-40ff-9bc1-c6737669977a · inbound

A Prompt-Aware Structuring Framework for Reliable Reuse of AI-Generated Content in the Agentic Web cites this paper.

A Prompt-Aware Structuring Framework for Reliable Reuse of AI-Generated Content in the Agentic Web PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:16:23.587750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T04:42:03.607535Z digest=sha256:f34a0e4f0b59f28cf18f2eadb7369c69383beb3a5b8240f61af9463242b7771e

Observation d00d4433-8635-4561-aa70-dcea0b81c279 · inbound

KYA: A Framework-Agnostic Trust Layer for Autonomous Systems with Verifiable Provenance and Hierarchical Policy Composition cites this paper.

KYA: A Framework-Agnostic Trust Layer for Autonomous Systems with Verifiable Provenance and Hierarchical Policy Composition PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:14:00.038054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T22:09:13.189376Z digest=sha256:c982e2d7fe755e8815e6439e314fe975417cd2e775855011ca23b97c0e696054

Observation bb4fccc5-f48f-4e42-944d-3461f249aec6 · inbound

Agentic Orchestration of HPC Applications in Cloud cites this paper.

Agentic Orchestration of HPC Applications in Cloud PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-12T06:04:31.383714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:04:31.383714Z digest=sha256:60559c995df7ec6da1281522212e715444f6aa38a4b263316e1974f3226520ed

Observation d300b09f-3612-4090-b6f7-f5fceee50fe1 · inbound

Grading the Narrators: An Isnad-Rijal Framework for Claim-Level Provenance in Multi-Agent Knowledge Systems cites this paper.

Grading the Narrators: An Isnad-Rijal Framework for Claim-Level Provenance in Multi-Agent Knowledge Systems PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows

Reference 49

Resolution
unresolved
no resolver link, observed 2026-07-31T23:06:25.079983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:06:25.079983Z digest=sha256:55d48446e65608633a4795460a993ecf0ad5f0d68b16cc8ec4eb5d0f8dbb9b8e

Observation f495b57f-dc42-4d2e-ab74-611b3acc85ed · inbound

Traceable Multi-Agent System for Knowledge-Based Forecasting cites this paper.

Traceable Multi-Agent System for Knowledge-Based Forecasting PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T20:45:47.253697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:45:47.253697Z digest=sha256:016b4130cb8ffe40a1f2d5de7adcc742d1c53d7cc37f6a13172cca9edd20d44b