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Paper Citation Record · LEDGER

Functional Risk Minimization

As of 12 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2412.21149.

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

pith.paper-citation-record.v1
2412.21149 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:07:26.948988Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T18:21:41.472210Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact1
  • verified fuzzy4
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 29dba300-6b84-47af-8067-29c231d5afda · outbound

This paper cites Proof As shown in (Jang et al., 2016; Maddison et al.,.

Functional Risk Minimization Proof As shown in (Jang et al., 2016; Maddison et al.,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-10T23:07:27.246995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation bb39967f-e959-4c09-9b83-aa02be718c73 · outbound

This paper cites Efficient and Modular Implicit Differentiation.

Functional Risk Minimization Efficient and Modular Implicit Differentiation

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1ad5488c-8501-4885-954d-fde4deac4377 · outbound

This paper cites Recasting Gradient-Based Meta-Learning as Hierarchical Bayes.

Functional Risk Minimization Recasting Gradient-Based Meta-Learning as Hierarchical Bayes

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:26.880824Z digest=sha256:c014829439a6bb4a09101f8304e05e78be8574123d6924a76023dff23b13e6ca

Observation 2553edc1-dd4f-46d4-85d1-abaa5a5f91b0 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Functional Risk Minimization LoRA: Low-Rank Adaptation of Large Language Models

Reference 11

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no resolver link, observed 2026-08-10T23:07:26.890868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:26.890868Z digest=sha256:6ec49b81dd55b02e6d5f24f5b08e0d04aa07b387367712ebb65c057c4ce6f9fe

Observation 348b929c-f797-4561-8bde-b2cc1b7aae71 · outbound

This paper cites Spatial transformer networks.

Functional Risk Minimization Spatial transformer networks

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-10T23:07:27.276816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation da97d888-8cd6-4de3-a5e2-4760d93fc9e6 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

Functional Risk Minimization Categorical Reparameterization with Gumbel-Softmax

Reference 14

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Unavailable: canonical work link unavailable.

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Observation 54d8676d-7d9f-4852-a28f-f31a977a57d4 · outbound

This paper cites Auto-Encoding Variational Bayes.

Functional Risk Minimization Auto-Encoding Variational Bayes

Reference 15

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no resolver link, observed 2026-08-10T23:07:26.912347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:26.912347Z digest=sha256:4a7ad6e0711265d29b44a49c2779ac34de340045412e61147b833bf67118cb46

Observation 3de25abb-02c3-4951-831e-20e2907d0b83 · outbound

This paper cites The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables.

Functional Risk Minimization The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

Reference 16

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no resolver link, observed 2026-08-10T23:07:26.917154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bfb05707-3e3e-4891-bbbb-b67b6859cc7e · outbound

This paper cites Deep double descent: Where bigger models and more data hurt.Journal of Statistical Mechanics: Theory and Experiment, 2021(12):124003,.

Functional Risk Minimization Deep double descent: Where bigger models and more data hurt.Journal of Statistical Mechanics: Theory and Experiment, 2021(12):124003,

Reference 17

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raw_fallback, observed 2026-08-10T23:07:27.261720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation cfda4578-016b-4398-ac57-9234b7f135f8 · outbound

This paper cites On First-Order Meta-Learning Algorithms.

Functional Risk Minimization On First-Order Meta-Learning Algorithms

Reference 19

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Unavailable: canonical work link unavailable.

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Observation 2cc91403-627e-4c7e-9f8b-593b22fcafee · outbound

This paper cites Adaptive Risk Minimization: Learning to Adapt to Domain Shift.

Functional Risk Minimization Adaptive Risk Minimization: Learning to Adapt to Domain Shift

Reference 22

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Observation 7b50631a-4b12-4d11-852b-f87b534a307d · outbound

This paper cites Tent: Fully Test-time Adaptation by Entropy Minimization.

Functional Risk Minimization Tent: Fully Test-time Adaptation by Entropy Minimization

Reference 1969

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no resolver link, observed 2026-08-10T23:07:26.939820Z

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Unavailable: canonical work link unavailable.

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Observation 8fac0851-64eb-41ed-9a73-e990e46fdfce · outbound

This paper cites Test-Time Training with Self-Supervision for Generalization under Distribution Shifts.

Functional Risk Minimization Test-Time Training with Self-Supervision for Generalization under Distribution Shifts

Reference 1994

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no resolver link, observed 2026-08-10T23:07:26.935082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:26.935082Z digest=sha256:8fb89a548d73582973d5513846f094f27e35861aebcf5923c011e8196833533d

Observation 55fc52d5-aa96-42eb-8147-b34a41e1045b · outbound

This paper cites Meta-Learning in Neural Networks: A Survey.

Functional Risk Minimization Meta-Learning in Neural Networks: A Survey

Reference 1997

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no resolver link, observed 2026-08-10T23:07:26.885411Z

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source=pdf_text observed=2026-08-10T23:07:26.885411Z digest=sha256:9c806266a3fcacdebfa48287c2d7dfaa60f3eff77630dc1165b8624fd749cdc2

Observation cc3b0fd3-2acc-4551-b75c-ed2b654217f7 · outbound

This paper cites On the "steerability" of generative adversarial networks.

Functional Risk Minimization On the "steerability" of generative adversarial networks

Reference 2015

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:26.899858Z digest=sha256:7cc746e14603aea5213b2b3ed4b634bca590f2e1a81149fdce078f6a91351145

Observation 816f56c5-e2ec-4d10-903d-e82f353ccdac · outbound

This paper cites Invariant Risk Minimization.

Functional Risk Minimization Invariant Risk Minimization

Reference 2016

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no resolver link, observed 2026-08-10T23:07:26.845761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:26.845761Z digest=sha256:2a4d4aec8b978a0262f71332d76e3337afc1b06ac93e3434888bcc62406cc800

Observation 407ad22f-c95c-4354-9466-8ba2a430c2db · outbound

This paper cites The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.

Functional Risk Minimization The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Reference 2017

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Observation 6a4735ae-0b08-4f17-8a2f-7052a089f2b9 · outbound

This paper cites Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al.

Functional Risk Minimization Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al

Reference 2018

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raw_fallback, observed 2026-08-10T23:07:27.290995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:07:26.862011Z digest=sha256:588fee64bbd3d2d3e4e5272ee0a952ba3d644975e064342005a2482bffb7a771

Observation 80e4fb1a-0ec2-4cd6-80fc-6d51f3320168 · outbound

This paper cites Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks.

Functional Risk Minimization Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks

Reference 2019

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:26.851119Z digest=sha256:fb2c4d681d861c1de38fb933fa43842322b97aee7c69b16f959b05d3cf283ff7

Observation 63663a8c-891a-4d32-958d-92d453d6dfaf · outbound

This paper cites Noisy Networks for Exploration.

Functional Risk Minimization Noisy Networks for Exploration

Reference 2020

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source=pdf_text observed=2026-08-10T23:07:26.871235Z digest=sha256:ca64bc7574fb2fd42f15866d4cc40359603f926f2647bbbb16ba3eeb571f2b08

Observation dc298f8f-869a-41e6-98a8-98ba09190060 · outbound

This paper cites Sharpness-Aware Minimization for Efficiently Improving Generalization.

Functional Risk Minimization Sharpness-Aware Minimization for Efficiently Improving Generalization

Reference 2021

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Unavailable: canonical work link unavailable.

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Observation df047549-835c-4d7b-bd85-3097cd50fbd5 · outbound

This paper cites Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time.

Functional Risk Minimization Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time

Reference 2022

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verified exact
local_arxiv, observed 2026-08-10T23:07:27.232118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:07:26.839911Z digest=sha256:0f8dc00620acf4fcb5704b8e65059513d773467d5c6073a0a4dcc61a98472e51

Pith citing papers

Observation baec556b-aed5-4396-8aa2-eba5de48c73b · inbound

Rigorous uncertainty quantification of probabilistic AI weather forecasts with conformal prediction cites this paper.

Rigorous uncertainty quantification of probabilistic AI weather forecasts with conformal prediction Functional Risk Minimization

Reference 117

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arxiv_id, observed 2026-06-26T18:29:41.640797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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