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Researcher Evidence Record

Justin Lidard

This bounded record lists 8 Pith paper rows and 0 imported work rows attributed to this corpus identity. The enumerated, non-disputed paper rows include cs.RO, cs.LG, cs.AI work dated 2021 to 2025. The record describes sources and coverage; it makes no judgment about the person.

Compiled coverage vector

Measured lane counts only. Not a trust score or person verdict.

Enumerated paper scope: 4 fields (cs.RO, cs.LG, cs.AI, +1 more) · 2021-2025 sources: authors, author_identifiers · paper_authors · author_works · current_verdicts · cited_works

A sourced case file for attributed work. It is neither a profile score nor a verdict about this researcher.

Attributed works

A bounded ledger from the Pith paper and imported-work queries. Counts and source confidence stay with each work.

  1. 2025 Pith paper

    Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know?

    cs.AI provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Justin Lidard
    Author position
    4
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 8 pith inbound references from cited_work_pith_inbound_counts
  2. 2025 Pith paper

    Guiding Data Collection via Factored Scaling Curves

    cs.RO provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Justin Lidard
    Author position
    4
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  3. 2024 Pith paper

    A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions

    cs.CL provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Justin Lidard
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 9 pith inbound references from cited_work_pith_inbound_counts
  4. 2024 Pith paper

    Diffusion Policy Policy Optimization

    cs.RO provisional current review present

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Justin Lidard
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: a current Pith review exists.
    Citation counts
    • 44 pith inbound references from cited_work_pith_inbound_counts
  5. 2024 Pith paper

    Risk-Calibrated Human-Robot Interaction via Set-Valued Intent Prediction

    cs.RO provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Justin Lidard
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  6. 2024 Pith paper

    Blending Data-Driven Priors in Dynamic Games

    cs.RO provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Justin Lidard
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 2 pith inbound references from cited_work_pith_inbound_counts
  7. 2023 Pith paper

    NashFormer: Leveraging Local Nash Equilibria for Semantically Diverse Trajectory Prediction

    cs.LG provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Justin Lidard
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  8. 2021 Pith paper

    Provably Efficient Multi-Agent Reinforcement Learning with Fully Decentralized Communication

    cs.LG provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Justin Lidard
    Author position
    1
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.

Evidence apparatus

The machinery behind this record. Every lane states whether Pith measured it, did not query it, could not reach it, or withheld it.

LaneStateObservedBoundary and source
identity Measured 2 Canonical identity row plus public typed identifiers.
source=authors, author_identifiers
papers Measured 8 of 8 bounded rows Rows attributed to this author UUID in the Pith corpus.
source=paper_authors
works Measured zero 0 of 0 bounded rows Imported works not duplicated by the paper ledger.
source=author_works
reviews Measured 1 of 8 bounded rows Coverage count only. No review outcome is projected onto the person.
source=current_verdicts
citations Measured 5 of 8 bounded rows Counts remain itemized by work and source.
source=cited_works
coauthors Measured 42 of 8 bounded rows Shared-work edges from admitted paper rows.
source=paper_authors
account Unavailable No public count of 1 bounded rows Account metadata is separate from corpus evidence.
source=users.author_id
Public identity sources
  • name variant
    Justin Lidard
    backfill
    confidence 0.6
Enumerated research scope

Fields and dates come only from enumerated, non-disputed Pith paper rows. They do not claim career completeness.

  • cs.RO4 rows
  • cs.LG2 rows
  • cs.AI1 rows
  • cs.CL1 rows
  • 20211 rows
  • 20231 rows
  • 20244 rows
  • 20252 rows
Shared-work index
Record scope

The work queries are bounded. Missing rows may mean measured zero, an unavailable source, a query that did not run, or private data that Pith withheld. The lane table keeps those cases separate.

Paper findings remain attached to papers. They do not become findings about this researcher.