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Paper Citation Record · LEDGER

Semiparametric inference on identification sets in choice modeling

As of 4 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.21790.

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

pith.paper-citation-record.v1
2607.21790 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T06:49:52.841613Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

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  • unresolved17
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External citation measurements

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Outbound references

Observation b61b3f4a-72e3-4f05-a87c-186e07c4fc5a · outbound

This paper cites On the event ∥bN (PN )−b N (P N )∥< η, Assumption 4 gives λ(PN ) =λ(P N ).

Semiparametric inference on identification sets in choice modeling On the event ∥bN (PN )−b N (P N )∥< η, Assumption 4 gives λ(PN ) =λ(P N )

Reference 1

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source=pdf_text observed=2026-08-01T06:49:52.244748Z digest=sha256:83fcefd31a07fd92c05f9da94546221ed69461d2461fe4e08e0f78538e335525

Observation 3c2134a8-d861-4f8f-9b4c-778cd5df88c0 · outbound

This paper cites Proof of Proposition 1.ConsiderSandTas defined in (16).

Semiparametric inference on identification sets in choice modeling Proof of Proposition 1.ConsiderSandTas defined in (16)

Reference 3

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source=pdf_text observed=2026-08-01T06:49:52.104838Z digest=sha256:4e0c5c9e5329692ecb60fd93002ca7b8e63b47ef5188bbc45b429e10b27204ac

Observation 9121ff5a-5ca8-4dfd-8e90-ecd2ef7c956e · outbound

This paper cites Inverse Reinforcement Learning with Just Classification and a Few Regressions.

Semiparametric inference on identification sets in choice modeling Inverse Reinforcement Learning with Just Classification and a Few Regressions

Reference 11

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source=pdf_text observed=2026-08-01T06:49:51.844747Z digest=sha256:52da504e13ee963bff85ad8649ce48a2ea860c8d63a737370bdc425399021aa7

Observation 20cfc27c-345a-4a38-b799-0730fad69bf5 · outbound

This paper cites For anyNsufficiently large, by realizability ofP N under (Qβ, s), we have that{XN i }i∈[N] is a sequence of independent random variables.

Semiparametric inference on identification sets in choice modeling For anyNsufficiently large, by realizability ofP N under (Qβ, s), we have that{XN i }i∈[N] is a sequence of independent random variables

Reference 12

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source=pdf_text observed=2026-08-01T06:49:52.442567Z digest=sha256:b7cb1184d191a73c009e702112c6e6f41eaeb093414b23f2debc07d8e69e28e5

Observation 865ab9b4-62b0-4ab9-86e8-0fe246fe7489 · outbound

This paper cites LetR={r∈Rsuch thatx 0+rv∈ H}.Hbeing bounded implies thatRis bounded.

Semiparametric inference on identification sets in choice modeling LetR={r∈Rsuch thatx 0+rv∈ H}.Hbeing bounded implies thatRis bounded

Reference 16

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source=pdf_text observed=2026-08-01T06:49:52.642320Z digest=sha256:9347a47eb772b8b41d8d7bf608b8891a59c9e95d4b22b1500d9b6262008d0b72

Observation e964f99b-3cd3-4d8b-a0dc-5194d5ab1f25 · outbound

This paper cites Sinceh(B 0)⊆H, we have Conv(h(B 0))⊆Conv(H), thus Z B h dπ∈Conv(H), hence the induction step and the result.

Semiparametric inference on identification sets in choice modeling Sinceh(B 0)⊆H, we have Conv(h(B 0))⊆Conv(H), thus Z B h dπ∈Conv(H), hence the induction step and the result

Reference 17

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source=pdf_text observed=2026-08-01T06:49:52.716228Z digest=sha256:8740534b9c5562aad542795b0d09daccecb8fb682e5b9deabb4ae220fb54fec4

Observation 2def8e55-d46f-4943-91a6-d4a55d67951a · outbound

This paper cites Therefore, by the inverse function theorem [Lee, 2003, Theorem 4.5], there exists a neighborhood ˜Vk ofβ ⋆ k on whichFis injective.

Semiparametric inference on identification sets in choice modeling Therefore, by the inverse function theorem [Lee, 2003, Theorem 4.5], there exists a neighborhood ˜Vk ofβ ⋆ k on whichFis injective

Reference 18

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source=pdf_text observed=2026-08-01T06:49:52.841613Z digest=sha256:c54b66c6b211639b9a0dab499b5cc3e158a0103ed45c16f079c1250150e4604d

Observation 0add685e-2f95-4cf7-928d-80bdc6d95fa4 · outbound

This paper cites Identification of Average Treatment Effects in Nonparametric Panel Models.

Semiparametric inference on identification sets in choice modeling Identification of Average Treatment Effects in Nonparametric Panel Models

Reference 1951

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source=pdf_text observed=2026-08-01T06:49:50.210119Z digest=sha256:659c3283e90c74967a72901529207c62f82bfe8bedf2eae5640e42c24c01df73

Observation 2501e860-b5bd-4db1-a021-64535c4d32fb · outbound

This paper cites A semiparametric discrete choice model: An application to hospital mergers.Economic Inquiry, 55(4):1919–1944,.

Semiparametric inference on identification sets in choice modeling A semiparametric discrete choice model: An application to hospital mergers.Economic Inquiry, 55(4):1919–1944,

Reference 1975

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source=pdf_text observed=2026-08-01T06:49:51.615302Z digest=sha256:26625d0480c91ff22b1b0cee17f98ae2c5e0b718657c9879603a4293d93aa17f

Observation bdc4f71b-78c6-453e-a7e4-af482bf9a97c · outbound

This paper cites Robin L Plackett.

Semiparametric inference on identification sets in choice modeling Robin L Plackett

Reference 1982

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doi, observed 2026-08-01T06:53:36.847135Z

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source=pdf_text observed=2026-08-01T06:49:51.384062Z digest=sha256:3fac1ee50c31ea778dc1355829da4810ddbc6b1e239ec3f7bfded1b50bfd3748

Observation 74a779d3-52bc-4e73-8ab6-6f1dbbbc6f41 · outbound

This paper cites Alfred O Hero and Jeffrey A Fessler.

Semiparametric inference on identification sets in choice modeling Alfred O Hero and Jeffrey A Fessler

Reference 1983

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source=pdf_text observed=2026-08-01T06:49:50.745299Z digest=sha256:217f85c10b59acb38ebc0e330f82c7a0354cb4818ca9cbc632192549da23c6f7

Observation 93be2532-953f-406c-9f63-b8282825b077 · outbound

This paper cites Partial identification via conditional linear programs: estimation and policy learning.

Semiparametric inference on identification sets in choice modeling Partial identification via conditional linear programs: estimation and policy learning

Reference 1985

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source=pdf_text observed=2026-08-01T06:49:50.353547Z digest=sha256:c2d5109811f48bf961ae53ed0c0c62ad8dd0c1507ad5384751f44702e3b770e0

Observation 332e3996-425b-4a52-8194-d947b101d7c5 · outbound

This paper cites Beyond tchakaloff quadrature: Positive functionals, frames and widths.arXiv preprint arXiv:2511.15425,.

Semiparametric inference on identification sets in choice modeling Beyond tchakaloff quadrature: Positive functionals, frames and widths.arXiv preprint arXiv:2511.15425,

Reference 1987

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source=pdf_text observed=2026-08-01T06:49:51.754750Z digest=sha256:a3887646c8b17dcea05ff0783a1c74f81c894fe1f0d8119e8c1fbf3aa13ee457

Observation 7a09756c-20d8-4b3e-b773-126f0691eef7 · outbound

This paper cites Identification in Some Discrete Choice Models: A Computational Approach.

Semiparametric inference on identification sets in choice modeling Identification in Some Discrete Choice Models: A Computational Approach

Reference 1992

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source=pdf_text observed=2026-08-01T06:49:51.084744Z digest=sha256:063ea3b538766c67a83b59f911c3b6650b4639ba11e3fb2cf17bacd423f9e8b8

Observation 28c3607f-a2da-466e-978c-2fe9d6894bc9 · outbound

This paper cites The Value of Personalized Recommendations: Evidence from Netflix.

Semiparametric inference on identification sets in choice modeling The Value of Personalized Recommendations: Evidence from Netflix

Reference 2010

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source=pdf_text observed=2026-08-01T06:49:51.954743Z digest=sha256:56608975de9524b293d3fd4fe6213df71d5cee20f646e92c18357ad8ac2ce919

Observation ccdabfeb-d926-46cd-896c-0d77fe285024 · outbound

This paper cites Revealed preference at scale: Learning personalized preferences from assortment choices.

Semiparametric inference on identification sets in choice modeling Revealed preference at scale: Learning personalized preferences from assortment choices

Reference 2016

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source=pdf_text observed=2026-08-01T06:49:50.954957Z digest=sha256:9b681ecfd4bbb8ddc74318a07442774633dcec90d3948013cd4b38ec3eab72d7

Observation ecf88ab9-0795-4242-a27d-25ac3792c2fa · outbound

This paper cites an unresolved cited work.

Semiparametric inference on identification sets in choice modeling Unresolved cited work

Reference 2021

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Observation a7d5530c-5be0-4a0c-9bc0-fe82537463e7 · outbound

This paper cites On a theorem of karhunen and related moment problems and quadrature formulae.

Semiparametric inference on identification sets in choice modeling On a theorem of karhunen and related moment problems and quadrature formulae

Reference 2024

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Pith citing papers

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