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Paper Citation Record · LEDGER

Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.12987.

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

pith.paper-citation-record.v1
2403.12987 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:25:27.708522Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T17:46:53.641325Z

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 8ba7f6b6-480b-4008-a3c8-9ee0e2ccdc8f · inbound

Synergistic Benefits of Joint Molecule Generation and Property Prediction cites this paper.

Synergistic Benefits of Joint Molecule Generation and Property Prediction Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-22T17:46:53.642981Z

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.

source=pdf_text observed=2026-05-22T17:45:35.968422Z digest=sha256:b24088e3ed5d8f0bf2ddf92e2ee0a1167b712bcf97aafbef59fec5ca482a7bee

Observation 46b43fad-9298-4ff8-82d9-b140a20dca0f · inbound

Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration cites this paper.

Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T14:25:27.708522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:25:27.708522Z digest=sha256:02c32386717b1ba64e1fba0bf153a24b23f03524df9479180305fae1372b839a