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Paper Citation Record · LEDGER

An online learning approach to dynamic pricing for demand response

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1404.1325.

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

pith.paper-citation-record.v1
1404.1325 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:05:32.100795Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T01:07:16.291749Z

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 b864d95d-8664-408c-9cec-37ccec4fbc76 · inbound

Constrained Thompson Sampling for Real-Time Electricity Pricing with Grid Reliability Constraints cites this paper.

Constrained Thompson Sampling for Real-Time Electricity Pricing with Grid Reliability Constraints An online learning approach to dynamic pricing for demand response

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T12:05:32.100795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:05:32.100795Z digest=sha256:a6d8869e4ce3725e59a19ba6d030f6affbab20660ca21ff0f1880ffc97e2e9e3

Observation 3da950cb-5986-4668-b13a-6d6f5b9a6053 · inbound

Learning Prosumer Behavior in Energy Communities: Integrating Bilevel Programming and Online Learning cites this paper.

Learning Prosumer Behavior in Energy Communities: Integrating Bilevel Programming and Online Learning An online learning approach to dynamic pricing for demand response

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-10T01:07:16.298729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T01:07:15.998803Z digest=sha256:4dd0a9937e973cb08c7df4667152e36b8f89253a0ea5ef000214e9e9fd3139ec