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Paper Citation Record · LEDGER

Inference in partially identified moment models via regularized optimal transport

As of 11 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2512.18084.

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pith.paper-citation-record.v1
2512.18084 v3

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measured 13 of 13 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-03T15:11:07.774640Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

13 of 13 outbound references displayed

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  • unresolved12
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External citation measurements

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Outbound references

Observation e3980969-62cc-41ce-942a-14a2ae5d131a · outbound

This paper cites Inconsistency of the bootstrap when a parameter is on the boundary of the parameter space,.

Inference in partially identified moment models via regularized optimal transport Inconsistency of the bootstrap when a parameter is on the boundary of the parameter space,

Reference 1

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source=pdf_text observed=2026-08-03T15:11:06.632955Z digest=sha256:8fb9cd7bc18f7e2e10527adbbacf336e1160631be5d5b6a133bfd34666ce3804

Observation 5429d599-2329-4bfa-a111-5810640053ca · outbound

This paper cites 30 Finally,V µ(φ) +V ν(ψ) is the semiparametric variance bound due to Corollary 2 of Goldfeld et al.

Inference in partially identified moment models via regularized optimal transport 30 Finally,V µ(φ) +V ν(ψ) is the semiparametric variance bound due to Corollary 2 of Goldfeld et al

Reference 2

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Observation b08e615a-261f-48c1-9282-2a293e3a0b36 · outbound

This paper cites , α2d)∈N 2d 0 or order|α|:=α 1 + · · ·+α2d ≤s, and the partial derivative operator ∇αf(x, y) := ∂|α| ∂xα1 1 · · ·∂xαd d ∂y αd+1 1 · · ·∂yα2d d f(x, y).

Inference in partially identified moment models via regularized optimal transport , α2d)∈N 2d 0 or order|α|:=α 1 + · · ·+α2d ≤s, and the partial derivative operator ∇αf(x, y) := ∂|α| ∂xα1 1 · · ·∂xαd d ∂y αd+1 1 · · ·∂yα2d d f(x, y)

Reference 6

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source=pdf_text observed=2026-08-03T15:11:07.040090Z digest=sha256:aeccfebdeca7ecb474b7777f5d22a1ca20262288978b591c0d06b3cf0dfbc341

Observation 4ac0bad5-8258-4cdc-9f69-b0416e1a4b9b · outbound

This paper cites Similarly, (16) implies θ(µ1, ν1)−θ(µ 0, ν0)≤ Z (φ11 ⊕ψ 01)d(µ 1 ⊗ν 1 −µ 0 ⊗ν 0).

Inference in partially identified moment models via regularized optimal transport Similarly, (16) implies θ(µ1, ν1)−θ(µ 0, ν0)≤ Z (φ11 ⊕ψ 01)d(µ 1 ⊗ν 1 −µ 0 ⊗ν 0)

Reference 7

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Observation c228d189-8b26-46f9-ba9a-f56329faec3a · outbound

This paper cites Therefore,φ u,θ, ψu,θ are optimal potentials.

Inference in partially identified moment models via regularized optimal transport Therefore,φ u,θ, ψu,θ are optimal potentials

Reference 9

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Observation e1793461-42fd-4b9c-9b7b-c598fe7535ff · outbound

This paper cites an unresolved cited work.

Inference in partially identified moment models via regularized optimal transport Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-03T15:11:07.420628Z digest=sha256:015e06c06cb9d2e0164da57d93cc3d385e5141bbb77cc327daf6056391f590e0

Observation a66d0580-8670-44e4-bfe3-07b08c33da93 · outbound

This paper cites SinceFis independent of (u, θ), the proof is completed.

Inference in partially identified moment models via regularized optimal transport SinceFis independent of (u, θ), the proof is completed

Reference 11

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source=pdf_text observed=2026-08-03T15:11:07.547885Z digest=sha256:f6aa44b8b23300ff446ffd2e19d06eba14c42c62f021ae131f5ca096dc4311d7

Observation cc4e0d39-1323-48f2-a34f-9cedc0310ff9 · outbound

This paper cites Generalized Optimal Transport.

Inference in partially identified moment models via regularized optimal transport Generalized Optimal Transport

Reference 12

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source=pdf_text observed=2026-08-03T15:11:06.959544Z digest=sha256:face2d044a64a8c98d0184f8038a262f4a1711ca183e168c765059f9cc1fba5c

Observation b9ddbf53-8800-49de-8c4e-b079c6215afc · outbound

This paper cites We partition the population into retainers (observed in both periods) and attriters (observed only in period 1).

Inference in partially identified moment models via regularized optimal transport We partition the population into retainers (observed in both periods) and attriters (observed only in period 1)

Reference 13

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source=pdf_text observed=2026-08-03T15:11:07.660555Z digest=sha256:e1abe5cccd22ac365f42762ec6c86c3fdd95288c03fb231d2a68e1bfce530875

Observation a314ec79-9c66-4863-930f-c9e951b54c66 · outbound

This paper cites Using these explicit forms, we can simplify the expressions forp(x, s, θ) anda(x, s, θ).

Inference in partially identified moment models via regularized optimal transport Using these explicit forms, we can simplify the expressions forp(x, s, θ) anda(x, s, θ)

Reference 14

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source=pdf_text observed=2026-08-03T15:11:07.774640Z digest=sha256:a239eb4ebdc5e18d27de728462fa2e1bf6c64062c3b858b7c4b983f25dd526b0

Observation 18b4f89f-cc59-4c95-87e0-0bd37ff2f90d · outbound

This paper cites Identification and Estimation of Average Causal Effects in Fixed Effects Logit Models.

Inference in partially identified moment models via regularized optimal transport Identification and Estimation of Average Causal Effects in Fixed Effects Logit Models

Reference 26

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Observation 898ad9d9-9d2a-4003-ab54-cf28856856bc · outbound

This paper cites Debiaser beware: Pitfalls of 25 centering regularized transport maps,.

Inference in partially identified moment models via regularized optimal transport Debiaser beware: Pitfalls of 25 centering regularized transport maps,

Reference 32

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source=pdf_text observed=2026-08-03T15:11:06.838692Z digest=sha256:9bc4d575cc5177a52a0a9c8c8baf88c20970ec749db49f7f47522dd51c3d5429

Observation 1f5eff0e-4172-46c3-bd71-e9171531053f · outbound

This paper cites An Adversarial Approach to Identification.

Inference in partially identified moment models via regularized optimal transport An Adversarial Approach to Identification

Reference 709

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