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Paper Citation Record · LEDGER

pForest: In-Network Inference with Random Forests

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1909.05680.

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

pith.paper-citation-record.v1
1909.05680 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:37:58.615202Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:38:15.689117Z

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 08496f91-34bc-44aa-b8bc-268b090ddd24 · inbound

Optimal In-Network Distribution of Learning Functions for a Secure-by-Design Programmable Data Plane of Next-Generation Networks cites this paper.

Optimal In-Network Distribution of Learning Functions for a Secure-by-Design Programmable Data Plane of Next-Generation Networks pForest: In-Network Inference with Random Forests

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:38:15.692873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-23T17:37:17.485283Z digest=sha256:14e1fcfdcd1abe944dbffafcba5c1616b16377762398360b0376f30878472c98

Observation 12088b28-59c4-474f-8c7f-4594c31aedcc · inbound

Cruise Control: Dynamic Model Selection for ML-Based Network Traffic Analysis cites this paper.

Cruise Control: Dynamic Model Selection for ML-Based Network Traffic Analysis pForest: In-Network Inference with Random Forests

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T11:37:58.615202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:37:58.615202Z digest=sha256:c8106bfa1dc17d2b627da8849abbcedd290b5377d96287a82cacdda978641879

Observation be352c50-b286-4dc8-bc35-3df46ece169a · inbound

Programmable Data Planes for Network Security cites this paper.

Programmable Data Planes for Network Security pForest: In-Network Inference with Random Forests

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T12:04:14.619982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:04:14.619982Z digest=sha256:f09adcd42790560e220254e7b84f1d06a75c119b54d9b92b5e5f8d7d50de0c0d

Observation 05d2fe06-b58d-4a5f-9a3a-59e4d0177cc2 · inbound

SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate cites this paper.

SpliDT: Partitioned Decision Trees for Scalable Stateful Inference at Line Rate pForest: In-Network Inference with Random Forests

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T13:45:15.647845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:45:15.647845Z digest=sha256:7272fb5a9717e182b681b2113951a913f51631e79db83adb4ae7225a3ed76a33

Observation dec2f920-29c3-481d-813b-c7d594cf3036 · inbound

Boundary-Seeking GAN-Augmented TabTransformer for Adversarially Robust Intrusion Detection cites this paper.

Boundary-Seeking GAN-Augmented TabTransformer for Adversarially Robust Intrusion Detection pForest: In-Network Inference with Random Forests

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T23:07:04.781343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:07:04.781343Z digest=sha256:b809f01f69e48d44dbf90650438cfdeb2e0d149debc888ed5d5844f4bd22fb8d

Observation 5bda1fbd-177b-4c3f-900c-2be95182b0c1 · inbound

RIGEL: Real-time Optical Anomaly Diagnosis with Stateful In-Network Inference based on Distributed On-switch GNNs cites this paper.

RIGEL: Real-time Optical Anomaly Diagnosis with Stateful In-Network Inference based on Distributed On-switch GNNs pForest: In-Network Inference with Random Forests

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T09:36:54.206157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:36:54.206157Z digest=sha256:11205cb78511508024481bd043f42f21a00ca6606363eb916dcf9b8eb1d9b26b