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Paper Citation Record · LEDGER

Symbolic Discovery of Optimization Algorithms

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2302.06675.

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

pith.paper-citation-record.v1
2302.06675 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:42:25.255477Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T17:36:25.406188Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 57ca71f7-d270-4429-9d0d-72c6731cf7dd · inbound

DINOv2: Learning Robust Visual Features without Supervision cites this paper.

DINOv2: Learning Robust Visual Features without Supervision Symbolic Discovery of Optimization Algorithms

Reference 5

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arxiv_id, observed 2026-05-09T04:17:20.443603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a08b87ba-946b-436b-8725-814045f60a52 · inbound

The Falcon Series of Open Language Models cites this paper.

The Falcon Series of Open Language Models Symbolic Discovery of Optimization Algorithms

Reference 196

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arxiv_id, observed 2026-05-16T09:46:09.852219Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-16T09:46:09.701440Z digest=sha256:307a2ccfdd1999be16ad7e98f693f7900ca4f5b7dcc41222abbae6f28a2260af

Observation d8c1c68b-d318-4dc0-86c2-21519eedcbae · inbound

Multi-megabase scale genome interpretation with genetic language models cites this paper.

Multi-megabase scale genome interpretation with genetic language models Symbolic Discovery of Optimization Algorithms

Reference 74

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:42:25.255477Z digest=sha256:36801d2557116b3d0746d1c60424782b390442de92bb51689203984de7c5b239

Observation ca211374-f08d-44f9-80fb-7c41187d1ccf · inbound

Scaling Laws for Differentially Private Language Models cites this paper.

Scaling Laws for Differentially Private Language Models Symbolic Discovery of Optimization Algorithms

Reference 20

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no resolver link, observed 2026-08-09T22:05:02.523732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T22:05:02.523732Z digest=sha256:df92eed2833515bcbc5ab64ec7143c3d8de486dfb6d58ced9832e27cd213183e

Observation 7615c643-16ed-474f-ad7f-04698c8c0a9e · inbound

Spectral-factorized Positive-definite Curvature Learning for NN Training cites this paper.

Spectral-factorized Positive-definite Curvature Learning for NN Training Symbolic Discovery of Optimization Algorithms

Reference 13

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no resolver link, observed 2026-08-08T16:15:07.150424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:15:07.150424Z digest=sha256:558968e66b8d1eeff1e1c721ca76db37bfbcf96ada64d7d098a574a29436dc1b

Observation 60ae8075-1183-4903-ab8c-9dde68c32c9b · inbound

AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training cites this paper.

AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training Symbolic Discovery of Optimization Algorithms

Reference 4

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no resolver link, observed 2026-08-07T15:09:11.308932Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T15:09:11.308932Z digest=sha256:3fea9e8679223d69478ffc3201c31fa989d367fb84a5a4e1022780722be68821

Observation a7918ac2-3f3b-4dc0-ac4f-00962e7aedd4 · inbound

Comparative Analysis of Lion and AdamW Optimizers for Cross-Encoder Reranking with MiniLM, GTE, and ModernBERT cites this paper.

Comparative Analysis of Lion and AdamW Optimizers for Cross-Encoder Reranking with MiniLM, GTE, and ModernBERT Symbolic Discovery of Optimization Algorithms

Reference 11

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source=pdf_text observed=2026-08-06T23:27:09.709503Z digest=sha256:e074163028b4e8a29a092ffd8c0c1e12babe46ba27ef925ffc1f90f070975efa

Observation 559654b5-1189-44e8-8fa5-21b20f5338ab · inbound

Simple Convergence Proof of Adam From a Sign-like Descent Perspective cites this paper.

Simple Convergence Proof of Adam From a Sign-like Descent Perspective Symbolic Discovery of Optimization Algorithms

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:25:24.809707Z digest=sha256:d081622cf51f14b67f5d5a5af7801a5fb3c8dd9737421275986c517d9f67b0c6

Observation 95fdae10-305a-4e29-92b0-50fbe1e9c141 · inbound

SoftSignSGD(S3): An Enhanced Optimizer for Practical DNN Training and Loss Spikes Minimization Beyond Adam cites this paper.

SoftSignSGD(S3): An Enhanced Optimizer for Practical DNN Training and Loss Spikes Minimization Beyond Adam Symbolic Discovery of Optimization Algorithms

Reference 13

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source=pdf_text observed=2026-08-06T19:10:16.490853Z digest=sha256:5267e331149ed822077d3048fb4e6e1517babac28fe84dd9158eab7768a55e6c

Observation 2049f298-757a-4752-a563-7d78d809c499 · inbound

How Should We Meta-Learn Reinforcement Learning Algorithms? cites this paper.

How Should We Meta-Learn Reinforcement Learning Algorithms? Symbolic Discovery of Optimization Algorithms

Reference 12

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no resolver link, observed 2026-08-06T14:48:45.939586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:48:45.939586Z digest=sha256:94e567ebb427ebc0ee5acb65656262135e84a62fe762a40069f3f7fae52c4d21

Observation 67cd5361-5c72-4d97-b27e-35d706dd1b44 · inbound

On the Convergence of Muon and Beyond cites this paper.

On the Convergence of Muon and Beyond Symbolic Discovery of Optimization Algorithms

Reference 9

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arxiv_id, observed 2026-05-18T15:56:34.063247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-18T15:56:30.602824Z digest=sha256:605f789bf3efb2a619eeb04fe14385540b7e7843e271b2b553bfdbe3a2cbe796

Observation 1e792baa-82b0-4293-91ff-89e058da97bb · inbound

Minimum Bayes Risk Decoding for Error Span Detection in Reference-Free Automatic Machine Translation Evaluation cites this paper.

Minimum Bayes Risk Decoding for Error Span Detection in Reference-Free Automatic Machine Translation Evaluation Symbolic Discovery of Optimization Algorithms

Reference 7

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source=arxiv_source observed=2026-08-03T17:56:43.676830Z digest=sha256:4621aa17d09a5c613f980c412bf8049bec14c7618da3da5842c491d26fd8c0a7

Observation 49f1e76a-24fe-467f-9e0d-55b87865ff27 · inbound

OmniMol: Transferring Particle Physics Knowledge to Molecular Dynamics with Point-Edge Transformers cites this paper.

OmniMol: Transferring Particle Physics Knowledge to Molecular Dynamics with Point-Edge Transformers Symbolic Discovery of Optimization Algorithms

Reference 34

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arxiv_id, observed 2026-05-16T13:20:58.046822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T13:18:02.842399Z digest=sha256:7a4daf3205a33e7f39b5cd959d6035f6263706ea81f1d8e2ceb3051e09b9c029

Observation 4b508cec-537d-41dd-8a86-794fba215770 · inbound

Xray-Visual Models: Scaling Vision models on Industry Scale Data cites this paper.

Xray-Visual Models: Scaling Vision models on Industry Scale Data Symbolic Discovery of Optimization Algorithms

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:25:58.349439Z digest=sha256:4b9ea5d3da44ff9de379728b34276baaa2d606baa32fb9707eeef2173adc560b

Observation b5568fbb-3cfe-4575-9548-88baac1a8b88 · inbound

Explicit or Implicit? Encoding Physics at the Precision Frontier cites this paper.

Explicit or Implicit? Encoding Physics at the Precision Frontier Symbolic Discovery of Optimization Algorithms

Reference 96

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source=pdf_text observed=2026-08-03T02:35:37.747095Z digest=sha256:0351deef2c2225d431c63ce5e6c251ae33f4019e409dcf81e447a874eee004b8

Observation 81979b2d-1c39-4b4b-8132-ca30308ab3d3 · inbound

Diffusion-Based Point-Cloud Generation of Heavy-Ion Events cites this paper.

Diffusion-Based Point-Cloud Generation of Heavy-Ion Events Symbolic Discovery of Optimization Algorithms

Reference 13

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arxiv_id, observed 2026-05-11T00:20:52.819779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:35:48.056139Z digest=sha256:ea49bb1204edee878c90d07c62376e84f1491bc30d91f2489d22b683b5ae6655

Observation c78ed247-9604-4283-9737-43dc52f1cdd3 · inbound

Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation cites this paper.

Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation Symbolic Discovery of Optimization Algorithms

Reference 75

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arxiv_id, observed 2026-05-11T05:16:02.698169Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 1dfb98b8-895e-48ea-8d9b-659802aadaa7 · inbound

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling cites this paper.

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling Symbolic Discovery of Optimization Algorithms

Reference 2

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arxiv_id, observed 2026-05-10T05:36:02.311253Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 34c133dd-7700-4a2a-a61a-ce1f55460d33 · inbound

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling cites this paper.

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling Symbolic Discovery of Optimization Algorithms

Reference 2

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arxiv_id, observed 2026-05-19T18:02:42.232038Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation cc08a3d8-239e-4a2b-9470-b410a69bff2f · inbound

Enhancing SignSGD: Small-Batch Convergence Analysis and a Hybrid Switching Strategy cites this paper.

Enhancing SignSGD: Small-Batch Convergence Analysis and a Hybrid Switching Strategy Symbolic Discovery of Optimization Algorithms

Reference 4

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arxiv_id, observed 2026-05-11T23:31:14.585652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T16:54:48.823566Z digest=sha256:9f4f85a17b5cdb91fb45d283b489f652719b9051703584d31629397dbae61e5d

Observation 57fee187-37eb-436c-8b2c-0713e868ed86 · inbound

Anon: Extrapolating Adaptivity Beyond SGD and Adam cites this paper.

Anon: Extrapolating Adaptivity Beyond SGD and Adam Symbolic Discovery of Optimization Algorithms

Reference 4

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arxiv_id, observed 2026-05-11T16:31:09.576204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T16:25:36.073417Z digest=sha256:5f215621a4fcafd97558db5bca36043a1a7a84adeb8fc54d5b02228c022672ac

Observation 484cb4e2-d453-4546-a55d-eed293501774 · inbound

Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers cites this paper.

Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers Symbolic Discovery of Optimization Algorithms

Reference 5

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arxiv_id, observed 2026-05-12T06:41:45.692719Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T04:01:32.057022Z digest=sha256:084fbceedb4aed0de094d3b032ae662e237c5a48a44cff8064dac93555a3e949

Observation a2ed7bde-4868-4215-b687-feaa51896a04 · inbound

Sparse Mamba Decoder for Quantum Error Correction: Efficient Defect-Centric Processing of Surface Code Syndromes cites this paper.

Sparse Mamba Decoder for Quantum Error Correction: Efficient Defect-Centric Processing of Surface Code Syndromes Symbolic Discovery of Optimization Algorithms

Reference 21

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arxiv_id, observed 2026-05-20T14:33:21.545179Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T14:28:37.056214Z digest=sha256:9f735b274a2860f0057c2b692da39d86a037bd89bd938af2bd38af073b50ab04

Observation 5dbf0b22-ae97-45d3-968b-b2d455b01c52 · inbound

Sparse Mamba Decoder for Quantum Error Correction: Efficient Defect-Centric Processing of Surface Code Syndromes cites this paper.

Sparse Mamba Decoder for Quantum Error Correction: Efficient Defect-Centric Processing of Surface Code Syndromes Symbolic Discovery of Optimization Algorithms

Reference 21

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arxiv_id, observed 2026-05-22T09:41:21.631001Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T09:40:40.741002Z digest=sha256:2916357ef6484afe1bea3ae172239bbd719e184a4709c5cc0b62cf41a670ec70

Observation fc983ebb-95ac-4364-a8c6-fdbd2916168a · inbound

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors cites this paper.

Improving Neural Network Training by Decoupling the Magnitude and Direction of Weight Vectors Symbolic Discovery of Optimization Algorithms

Reference 152

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arxiv_id, observed 2026-07-04T20:30:07.708005Z

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source=arxiv_source observed=2026-06-25T20:05:09.179627Z digest=sha256:7ca2e3b190517755b6137e2f779d4a2a324da8121b599a11c091233e07162fec

Observation 59e9cc19-d5c2-4fa8-86c0-60d3adc6a026 · inbound

Optimizer Memory Makes Shuffle Order a First-Order Source of Fine-Tuning Noise cites this paper.

Optimizer Memory Makes Shuffle Order a First-Order Source of Fine-Tuning Noise Symbolic Discovery of Optimization Algorithms

Reference 31

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arxiv_id, observed 2026-06-30T07:24:21.845046Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-30T07:15:56.974540Z digest=sha256:37ce44f8a0d3273c55725a9dc4d38a4a432678b4d48dc7d91770331502234f48

Observation 35da35ee-c52e-40c0-a620-776a56160e05 · inbound

Token Geometry cites this paper.

Token Geometry Symbolic Discovery of Optimization Algorithms

Reference 17

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arxiv_id, observed 2026-07-03T21:08:57.420888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5ac20898-c417-4c04-9797-4a2bb3d07a06 · inbound

Token Geometry cites this paper.

Token Geometry Symbolic Discovery of Optimization Algorithms

Reference 17

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no resolver link, observed 2026-07-12T08:48:22.161005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T08:48:22.161005Z digest=sha256:8da8c4242f937ac2cd4c98fd7272cfb9a87cdeaff975dee567bed3de1501aaea

Observation 5f5afe3f-29da-4905-995f-1d00d2663733 · inbound

Causal Optimizer Interaction Calculus: Hidden Geometric Relaxation and Identifiable Interventions cites this paper.

Causal Optimizer Interaction Calculus: Hidden Geometric Relaxation and Identifiable Interventions Symbolic Discovery of Optimization Algorithms

Reference 69

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local_arxiv, observed 2026-07-09T17:36:25.407937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-09T17:31:09.270342Z digest=sha256:507a97aa9f9f1edf8278aab3838c40ebbb4d597636912c07124b8ae87a473cc3

Observation ab84205d-658e-476d-969b-1d4f3a51ee82 · inbound

HyBDM: Multi-Scale Hybrid Experts for Time Series Forecasting with Bidirectional Dependency Modeling cites this paper.

HyBDM: Multi-Scale Hybrid Experts for Time Series Forecasting with Bidirectional Dependency Modeling Symbolic Discovery of Optimization Algorithms

Reference 51

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no resolver link, observed 2026-08-01T19:44:28.240194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T19:44:28.240194Z digest=sha256:94a1ef9c96b54e3fcbb792c8693733bcbfa4f2581e68dd59cb49f6b00d78ca34

Observation 63a0e92a-972b-46f3-80e7-78c8bc76a5dd · inbound

Searching the Space of Feed-Forward Neural-Network Weight-Update Rules with Fixed Depth Symbolic Regression cites this paper.

Searching the Space of Feed-Forward Neural-Network Weight-Update Rules with Fixed Depth Symbolic Regression Symbolic Discovery of Optimization Algorithms

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:30:01.507209Z digest=sha256:ba98c65f7bf72e23326a4c00ab3c0b59a611e14c8754d08b37e9d973fe620ebf