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Paper Citation Record · LEDGER

Pileup mitigation at the Large Hadron Collider with Graph Neural Networks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1810.07988.

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

pith.paper-citation-record.v1
1810.07988 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:21:25.609739Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T05:18:19.897359Z

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 2808d1f6-dbd9-4b32-ae56-0d2811b4daf6 · inbound

JEDI-net: a jet identification algorithm based on interaction networks cites this paper.

JEDI-net: a jet identification algorithm based on interaction networks Pileup mitigation at the Large Hadron Collider with Graph Neural Networks

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-14T13:21:25.609739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:21:25.609739Z digest=sha256:85f55d8d8b8c95d1576f84edc8db5f0c138abc05b18a4ecfe823ff35968152b4

Observation 3b0b877e-af2d-4bd1-9493-2fa52905564d · inbound

Fingerprinting New Physics with Effective Field Theories cites this paper.

Fingerprinting New Physics with Effective Field Theories Pileup mitigation at the Large Hadron Collider with Graph Neural Networks

Reference 242

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:15.172196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:15.172196Z digest=sha256:d8f54883b847fb83963d1a0c7ec6730296e8e4683717bb7ae8ad271c2f68cf65

Observation 535177a9-f9c9-444d-a7c8-78617b4a72e1 · inbound

High-Dimensional Unfolding in Large Backgrounds cites this paper.

High-Dimensional Unfolding in Large Backgrounds Pileup mitigation at the Large Hadron Collider with Graph Neural Networks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:50.366562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:50.366562Z digest=sha256:3b65c250842d3af8f0c9f8ef1d79199f039d8afb356d3fcfc06bba1bd2a58ffa

Observation fd6725c1-438a-4efd-9928-7a5c604b929f · inbound

WIPUNet: A Physics-inspired Network with Weighted Inductive Biases for Image Denoising cites this paper.

WIPUNet: A Physics-inspired Network with Weighted Inductive Biases for Image Denoising Pileup mitigation at the Large Hadron Collider with Graph Neural Networks

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-05T05:18:19.901002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T05:18:19.815355Z digest=sha256:0f8355a0d78f49a0aff4e2c638496f75af16367c2b23577af4b65a11f88be828

Observation df9a16dc-f6fe-43ac-97bb-7145be16e15f · inbound

PhyGHT: Physics-Guided HyperGraph Transformer for Signal Purification at the HL-LHC cites this paper.

PhyGHT: Physics-Guided HyperGraph Transformer for Signal Purification at the HL-LHC Pileup mitigation at the Large Hadron Collider with Graph Neural Networks

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-02T21:25:28.490878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:25:28.490878Z digest=sha256:dd3af49efd4f25c80fae08dda7780b2487d455c4401f542886bfca7498dbf55d