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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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no resolver link, observed 2026-08-10T23:07:26.856758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:26.856758Z digest=sha256:3109577bd96f1e92104e7f2a0a0f2f6a2015c22dc5510ee3173f7a5c7ca12de1

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:26.880824Z digest=sha256:596857f504e5111f10ab1682a9c2c3db0a94dd3018ef1c6b6d2a5ab5843f85be

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:eeee7f247b91b68a92f8cecb66021757354535fcdc0b1755de8c7540a05b891b

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

This paper cites Spatial transformer networks.

Functional Risk Minimization Spatial transformer networks

Reference 12

Resolution
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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no resolver link, observed 2026-08-10T23:07:26.906980Z

Source-reported events for the cited work

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:a7186327d521411f9f078f1bbb8a06c61f467c61b2e5e60555961e2a9a98a6f3

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:26.917154Z digest=sha256:274c378d5063040aa77f60cfc214900fb37bb31d00370f03628c1fbcd8d30710

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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no resolver link, observed 2026-08-10T23:07:26.930436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:26.930436Z digest=sha256:599bf32b39045090bb1481a4e9c5105685c4ca726dcfd8d2c24613a8a8074e23

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:26.944479Z digest=sha256:a8ee0199c32acf3d4930ec7ddec6a8e186771a4537615febab58fc995f069265

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:26.939820Z digest=sha256:4cd5537b4f19938826e28abfb4ce45879809c428f268a9e09ef15cc596a9884a

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=sha256:5ccd18b34c1950a782069aa3770cd64b5bdd0609863ebcb3a570ddf4445dca67

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:26.885411Z digest=sha256:d4ce7fadc50cd3a7296b4e9a699b58982e3f89b95b254dae010cb7ababac8d64

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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no resolver link, observed 2026-08-10T23:07:26.899858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:26.899858Z digest=sha256:c9d4b44ab0bdf8226004d9c47b52a0191c455c5a8f8728f8b5f451483758533c

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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unresolved
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=sha256:2cff7bf35acce1170bb434e51891223204c22d5abf85717990a52af1d3ccd1e6

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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verified fuzzy
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:e413a72f50054a93194c49d7c2687dc580e114cfba5e11b9210b2743fd33ec1e

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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no resolver link, observed 2026-08-10T23:07:26.851119Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:26.851119Z digest=sha256:ba4796f430b161d59cd092398aca2ff0ff59912eaa0222d9e2710d89a0a6a43b

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=sha256:07aa7619ebfd77460620e28f61580d0e38b10790479c8c06e2e103146db9ef59

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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no resolver link, observed 2026-08-10T23:07:26.866507Z

Source-reported events for the cited work

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:f3b4022061d5313e8bcd4f6f6a0acd24a53ae975f99498b213ef99bd24faabc5

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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verified exact
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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