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Paper Citation Record · LEDGER

Quasimetric Value Functions with Dense Rewards

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.08724.

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

pith.paper-citation-record.v1
2409.08724 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:05:33.394525Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T10:27:14.550942Z

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 831f7272-373e-4ffa-bdf5-bc1eab28df67 · inbound

Intention-Conditioned Flow Occupancy Models cites this paper.

Intention-Conditioned Flow Occupancy Models Quasimetric Value Functions with Dense Rewards

Reference 117

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:27:14.552343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T10:24:52.160209Z digest=sha256:fc71e0ba58831791c7ffc8c747c15bab8679e6cd821817cfe54054c8ea903b20

Observation 579bcb68-ac46-453d-9782-95cfa938ac01 · inbound

PPAAS: PVT and Pareto Aware Analog Sizing via Goal-conditioned Reinforcement Learning cites this paper.

PPAAS: PVT and Pareto Aware Analog Sizing via Goal-conditioned Reinforcement Learning Quasimetric Value Functions with Dense Rewards

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T15:05:33.394525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:05:33.394525Z digest=sha256:0b6517be0b17ebae53f252b0a4080f33353d33fe49ee725b945b2e276a8ae071