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Paper Citation Record · LEDGER

Privacy Artifact ConnecTor (PACT): Embedding Enterprise Artifacts for Compliance AI Agents

As of 14 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2507.21142.

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

pith.paper-citation-record.v1
2507.21142 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:54:45.793722Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:34:11.393056Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:40:58.922474Z

Reference resolution

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8819ca60-3269-4bfe-b899-f6b97dcee7bc · outbound

This paper cites Automating the Enterprise with Foundation Models.

Privacy Artifact ConnecTor (PACT): Embedding Enterprise Artifacts for Compliance AI Agents Automating the Enterprise with Foundation Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:45.759691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:45.759691Z digest=sha256:4b44ed6b51a17480748c05727ea3ec1440df3ae3ba9278438c3012fb0d0fa950

Observation 3e31fe1d-b52b-4e9a-9305-8682bb12d617 · outbound

This paper cites How to train your dragon: Diverse augmentation towards generalizable dense retrieval, 2023.

Privacy Artifact ConnecTor (PACT): Embedding Enterprise Artifacts for Compliance AI Agents How to train your dragon: Diverse augmentation towards generalizable dense retrieval, 2023

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:54:45.881586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:54:45.763474Z digest=sha256:2705525391a75c7d28ea9aa639ad8c312680e7d19ac10dca5b5518c8b9c48aaf

Observation 7b0e683e-1aad-4c99-a290-530b32352a09 · outbound

This paper cites An optimal algorithm for approximate nearest neighbor searching fixed dimensions.Journal of the ACM (JACM), 45(6):891–923, 1998.

Privacy Artifact ConnecTor (PACT): Embedding Enterprise Artifacts for Compliance AI Agents An optimal algorithm for approximate nearest neighbor searching fixed dimensions.Journal of the ACM (JACM), 45(6):891–923, 1998

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:45.766470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:45.766470Z digest=sha256:a466d9bd8a46a68212f016270df4d899dec88aafecef5f49d5343cde0359dfbf

Observation 65f06118-d63d-475d-a73f-da51b760e83e · outbound

This paper cites Product quantization for nearest neighbor search.IEEE transactions on pattern analysis and machine intelligence, 33(1):117–128, 2010.

Privacy Artifact ConnecTor (PACT): Embedding Enterprise Artifacts for Compliance AI Agents Product quantization for nearest neighbor search.IEEE transactions on pattern analysis and machine intelligence, 33(1):117–128, 2010

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:45.769418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:45.769418Z digest=sha256:50bcb8e4946acee0b71ebb7818879dcc62b2bbe97f6c2b3c5f4903350f228905

Observation a5d7f2b9-1cbf-4125-9cc8-04894f1dedb3 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

Privacy Artifact ConnecTor (PACT): Embedding Enterprise Artifacts for Compliance AI Agents React: Synergizing reasoning and acting in language models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:45.772221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:45.772221Z digest=sha256:b97f9839a15e31fd6ec707f2a9527fb6e9ea4b69a54379d761aaa0be14cc7763

Observation 1ad554c1-bc65-4c30-b6d2-a95da3799892 · outbound

This paper cites BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models.

Privacy Artifact ConnecTor (PACT): Embedding Enterprise Artifacts for Compliance AI Agents BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:45.775324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:45.775324Z digest=sha256:32467f882c9df703b72c30ecce1388f32bf47ac3545bfc4a6bf48c0da1b9d232

Observation e1169220-171b-4cf8-9d14-5f7b0e2bd585 · outbound

This paper cites The Llama 3 Herd of Models.

Privacy Artifact ConnecTor (PACT): Embedding Enterprise Artifacts for Compliance AI Agents The Llama 3 Herd of Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:45.779070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:45.779070Z digest=sha256:8244481efe4998dc2e21f187fdd34e14bc5ad9756b8a42e4c535613f1e94150a

Observation 1809cd17-3a08-4580-ba21-bec9ef3941b2 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Privacy Artifact ConnecTor (PACT): Embedding Enterprise Artifacts for Compliance AI Agents Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:45.781885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:45.781885Z digest=sha256:5c688c0fd2a7cac1bc0bc4c3d4b5421f59f112d03560973400449445ee508bdc

Observation ad5eb682-9da6-4f34-aa8e-7045e9d22065 · outbound

This paper cites Dense passage retrieval for open-domain question answering, 2020.

Privacy Artifact ConnecTor (PACT): Embedding Enterprise Artifacts for Compliance AI Agents Dense passage retrieval for open-domain question answering, 2020

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:45.784815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:45.784815Z digest=sha256:fc5ecfdeb582ad09c452147632193057484abbfa6516c89f07b15b668e46e6ef

Observation 7e341845-9c6e-4b66-bf96-2bda19b5c59d · outbound

This paper cites Code graph: From visualization to integration.

Privacy Artifact ConnecTor (PACT): Embedding Enterprise Artifacts for Compliance AI Agents Code graph: From visualization to integration

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:54:45.851910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:54:45.787803Z digest=sha256:af5af57a0f94d1a572a7a09aa653630be8b858363e39f9e5b65cc2fca92d897b

Observation febb0cce-1bbc-4e36-b983-c3b42836948f · outbound

This paper cites metapath2vec: Scalable representation learning for heterogeneous networks.

Privacy Artifact ConnecTor (PACT): Embedding Enterprise Artifacts for Compliance AI Agents metapath2vec: Scalable representation learning for heterogeneous networks

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:54:45.843331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T14:54:45.791023Z digest=sha256:ad19b2e439d5cdb4c3416476b9d011324d06c569734a409a3224d4427b439899

Observation e2b2f0d4-72bc-411c-8c23-cc298ff4c724 · outbound

This paper cites Toolformer: Language models can teach themselves to use tools, 2023.

Privacy Artifact ConnecTor (PACT): Embedding Enterprise Artifacts for Compliance AI Agents Toolformer: Language models can teach themselves to use tools, 2023

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:45.793722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:45.793722Z digest=sha256:9d5f59206d4408797fce2d6036b25db0fe99e27c57336399064aca5c16a47bfe

Pith citing papers

Observation 1998b2f0-95fd-4d53-be0d-f3ad3ee94b3b · inbound

Reducing Hallucination in Enterprise AI Workflows via Hybrid Utility Minimum Bayes Risk (HUMBR) cites this paper.

Reducing Hallucination in Enterprise AI Workflows via Hybrid Utility Minimum Bayes Risk (HUMBR) Privacy Artifact ConnecTor (PACT): Embedding Enterprise Artifacts for Compliance AI Agents

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:40:58.924552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T16:34:11.393056Z digest=sha256:4890d63c67a8bf68ebc612a435ee9d520a09f541f7e5c6b3754fceba1fdc9bae