Paper Citation Record · LEDGER

Are Emergent Abilities of Large Language Models a Mirage?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 39 inbound Pith citation observations for arXiv:2304.15004.

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

pith.paper-citation-record.v1
2304.15004 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 39 of 39 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 39 of 39 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:31:30.792544Z

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

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

133
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d009b449-dc45-4b16-a62f-1b63c81cf1e9 · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models Are Emergent Abilities of Large Language Models a Mirage?

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:46:40.737695Z

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.

Observation 6599b3d7-708b-4336-8a58-5d4545b1793c · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Are Emergent Abilities of Large Language Models a Mirage?

Reference 286

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:12:31.199148Z

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.

Observation 917411e7-1f92-4d83-9992-771973fbe380 · inbound

Scaling Laws for State Dynamics in Large Language Models cites this paper.

Scaling Laws for State Dynamics in Large Language Models Are Emergent Abilities of Large Language Models a Mirage?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:30.792544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2f400b3-2837-4189-a5ce-668effef067e · inbound

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need cites this paper.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Are Emergent Abilities of Large Language Models a Mirage?

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T16:17:41.258568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b4c3c66-d130-468f-9ffd-784c53fd68b7 · inbound

What Does it Mean for a Neural Network to Learn a "World Model"? cites this paper.

What Does it Mean for a Neural Network to Learn a "World Model"? Are Emergent Abilities of Large Language Models a Mirage?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T12:44:46.168916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b3764b1-0a7c-468d-b706-71cf8da215f6 · inbound

Artificial or Human Intelligence? cites this paper.

Artificial or Human Intelligence? Are Emergent Abilities of Large Language Models a Mirage?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T11:28:38.333925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b3458a7-b7ca-43ec-8745-70412baa1d48 · inbound

LLMOrbit: A Circular Taxonomy of Large Language Models -From Scaling Walls to Agentic AI Systems cites this paper.

LLMOrbit: A Circular Taxonomy of Large Language Models -From Scaling Walls to Agentic AI Systems Are Emergent Abilities of Large Language Models a Mirage?

Reference 132

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:47:54.018822Z

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.

Observation 1e5d82f3-9188-4876-a17c-2d14ebe7c308 · inbound

Knowledge without Wisdom: Measuring Misalignment between LLMs and Intended Impact cites this paper.

Knowledge without Wisdom: Measuring Misalignment between LLMs and Intended Impact Are Emergent Abilities of Large Language Models a Mirage?

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T18:46:29.456554Z

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.

Observation 5aedc85d-908e-4f32-be10-82b7cd82eb8d · inbound

To Use AI as Dice of Possibilities with Timing Computation cites this paper.

To Use AI as Dice of Possibilities with Timing Computation Are Emergent Abilities of Large Language Models a Mirage?

Reference 64

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:56:32.898438Z

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.

Observation fa48adc8-39aa-4e11-90ee-4b3b5b230c2f · inbound

Artificial Jagged Intelligence as Uneven Optimization Energy Allocation Capability Concentration, Redistribution, and Optimization Governance cites this paper.

Artificial Jagged Intelligence as Uneven Optimization Energy Allocation Capability Concentration, Redistribution, and Optimization Governance Are Emergent Abilities of Large Language Models a Mirage?

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:01:08.990326Z

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.

Observation a968f9d3-fc5a-4204-986f-b97e4c58bef9 · inbound

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization cites this paper.

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization Are Emergent Abilities of Large Language Models a Mirage?

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:56:05.401912Z

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.

Observation 69ed139b-8a02-41b8-82ab-2d5963ff511e · inbound

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization cites this paper.

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization Are Emergent Abilities of Large Language Models a Mirage?

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:21:26.483377Z

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.

Observation 90f3e272-d42f-43ef-98a7-1f7c580fe0fd · inbound

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization cites this paper.

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization Are Emergent Abilities of Large Language Models a Mirage?

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:12:28.766546Z

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.

Observation 63bc994e-aa78-4869-9da8-0f0aa872660f · inbound

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization cites this paper.

RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization Are Emergent Abilities of Large Language Models a Mirage?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T14:53:23.158594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e59e81d1-aa70-44f6-8e51-1043ef756164 · inbound

Regime-Conditioned Evaluation in Multi-Context Bayesian Optimization cites this paper.

Regime-Conditioned Evaluation in Multi-Context Bayesian Optimization Are Emergent Abilities of Large Language Models a Mirage?

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-08T16:48:28.672053Z

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.

Observation bf18a547-841d-4af7-8eda-9f91b2799995 · inbound

OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces cites this paper.

OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces Are Emergent Abilities of Large Language Models a Mirage?

Reference 91

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T03:01:18.752560Z

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.

Observation 7bcf460b-cda6-4cd7-896e-f4b4d1227e54 · inbound

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces cites this paper.

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces Are Emergent Abilities of Large Language Models a Mirage?

Reference 258

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:17:54.004812Z

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.

Observation d00a0804-dd41-4366-9ed2-d584e820e91a · inbound

Weight Decay Regimes in Grokking Transformers: Cheap Online Diagnostics cites this paper.

Weight Decay Regimes in Grokking Transformers: Cheap Online Diagnostics Are Emergent Abilities of Large Language Models a Mirage?

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T07:34:02.955873Z

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.

Observation 03c1a9b3-3909-4096-89a2-e80c4d731df0 · inbound

Towards Generalizable and Efficient Large-Scale Generative Recommenders cites this paper.

Towards Generalizable and Efficient Large-Scale Generative Recommenders Are Emergent Abilities of Large Language Models a Mirage?

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:56:36.907933Z

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.

Observation 9d098959-af25-44df-9316-b03536d24848 · inbound

Does Capability Transfer to Subjective Behavior -- and Would Our Instruments Tell Us? A Self-Evolving, Trust-by-Construction Evaluation Paradigm cites this paper.

Does Capability Transfer to Subjective Behavior -- and Would Our Instruments Tell Us? A Self-Evolving, Trust-by-Construction Evaluation Paradigm Are Emergent Abilities of Large Language Models a Mirage?

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:03:26.770178Z

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.

Observation 30f8dd78-6279-4b17-bb9b-8f1d7e7a534b · inbound

Linguistic Productivity in Large Language Models: Models Coerce, but do not Preempt cites this paper.

Linguistic Productivity in Large Language Models: Models Coerce, but do not Preempt Are Emergent Abilities of Large Language Models a Mirage?

Reference 179

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T23:36:22.755118Z

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.

Observation 52034bc9-752c-42cd-809e-03ed6b38b04a · inbound

Arithmetic Pedagogy for Language Models cites this paper.

Arithmetic Pedagogy for Language Models Are Emergent Abilities of Large Language Models a Mirage?

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:46:46.598860Z

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.

Observation ab2fb887-7ab0-46f9-96ce-4ee54244e44c · inbound

A Systematic Study of Behavioral Cloning for Scientific Data Annotation cites this paper.

A Systematic Study of Behavioral Cloning for Scientific Data Annotation Are Emergent Abilities of Large Language Models a Mirage?

Reference 215

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T16:23:38.986487Z

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.

Observation 786bbc7e-87b0-437d-96d1-2eca2327343b · inbound

Finite Certificates for In-Context Determinacy and a Threshold Theory of Emergence in Language Models cites this paper.

Finite Certificates for In-Context Determinacy and a Threshold Theory of Emergence in Language Models Are Emergent Abilities of Large Language Models a Mirage?

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:12:34.783120Z

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.

Observation d4128762-308c-469a-aaba-31ce5ea93862 · inbound

XtrAIn: Training-Guided Occlusion for Feature Attribution cites this paper.

XtrAIn: Training-Guided Occlusion for Feature Attribution Are Emergent Abilities of Large Language Models a Mirage?

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:47:38.382952Z

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.

Observation 448548d3-bc11-439c-8737-b52ce62374b1 · inbound

When Top-1 Fails: Calibrating LoRA Monitors for Masked Diffusion LMs cites this paper.

When Top-1 Fails: Calibrating LoRA Monitors for Masked Diffusion LMs Are Emergent Abilities of Large Language Models a Mirage?

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:19:56.347434Z

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.

Observation f8f32b2a-c951-4d14-b6af-7e38469d8a63 · inbound

Emergent Capabilities Arise Randomly from Learning Sparse Attention Patterns cites this paper.

Emergent Capabilities Arise Randomly from Learning Sparse Attention Patterns Are Emergent Abilities of Large Language Models a Mirage?

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:29:59.866134Z

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.

Observation 8c650c86-c864-4a1c-ab85-5f69a836b465 · inbound

Natural Ungrokking: Asymmetric Control of Which Rules Survive Pretraining cites this paper.

Natural Ungrokking: Asymmetric Control of Which Rules Survive Pretraining Are Emergent Abilities of Large Language Models a Mirage?

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-04T21:10:09.089677Z

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.

Observation 8adc8961-88e6-4408-903c-b40df80c665e · inbound

Govern the Repository, Not the Agent: Measuring Ecosystem-Level Risk in AI-Native Software cites this paper.

Govern the Repository, Not the Agent: Measuring Ecosystem-Level Risk in AI-Native Software Are Emergent Abilities of Large Language Models a Mirage?

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-01T17:55:51.855715Z

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.

Observation e3b5793d-f337-48f0-94b9-1e07c74e1336 · inbound

When transformers learn "impossible" languages, what do they learn? cites this paper.

When transformers learn "impossible" languages, what do they learn? Are Emergent Abilities of Large Language Models a Mirage?

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-01T02:15:14.193431Z

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.

Observation 134f55ee-da94-4069-926a-bb006de97139 · inbound

Two AI Metrics Diverged: Will it Make All the Difference? cites this paper.

Two AI Metrics Diverged: Will it Make All the Difference? Are Emergent Abilities of Large Language Models a Mirage?

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T12:36:55.965889Z

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.

Observation be182c78-6f29-4341-b631-dbbfb4879427 · inbound

Will Scaling Improve Social Simulation with LLMs? cites this paper.

Will Scaling Improve Social Simulation with LLMs? Are Emergent Abilities of Large Language Models a Mirage?

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:28:31.130833Z

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.

Observation 617ada29-15f3-48ac-ba8d-254d2dbdbadd · inbound

Will Scaling Improve Social Simulation with LLMs? cites this paper.

Will Scaling Improve Social Simulation with LLMs? Are Emergent Abilities of Large Language Models a Mirage?

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T09:03:29.887891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6c21b52-6dc6-45c1-8e3c-3399f18daa18 · inbound

Transplanting, inverting, and preventing a misalignment persona: method-conditional emergent misalignment in Qwen2.5 cites this paper.

Transplanting, inverting, and preventing a misalignment persona: method-conditional emergent misalignment in Qwen2.5 Are Emergent Abilities of Large Language Models a Mirage?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-11T18:20:40.287006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c78a3d9-905c-454c-9425-ef60ca6105d9 · inbound

Grokking Is Conditional and Fragile: A Fully-Tractable, Multi-Seed Study at 12K Parameters cites this paper.

Grokking Is Conditional and Fragile: A Fully-Tractable, Multi-Seed Study at 12K Parameters Are Emergent Abilities of Large Language Models a Mirage?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-11T08:46:29.099447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 896dbde1-98c9-438e-b937-104d52bb8f01 · inbound

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex cites this paper.

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex Are Emergent Abilities of Large Language Models a Mirage?

Reference 164

Resolution: unresolved; no resolver link, observed 2026-07-31T23:52:03.295495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d042e78-0ca6-475b-9426-ca49e1fb66c1 · inbound

Context Is King: How In-Context Specification Shapes the Geometry of Concepts cites this paper.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts Are Emergent Abilities of Large Language Models a Mirage?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.822805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f15d72e-0c98-4477-8503-de9c13560cd5 · inbound

FactorJEPA: Factorizing Monolithic Futures into Layout-Agent-Interaction Channels for Crowded and Chaotic Global South Urban Worlds cites this paper.

FactorJEPA: Factorizing Monolithic Futures into Layout-Agent-Interaction Channels for Crowded and Chaotic Global South Urban Worlds Are Emergent Abilities of Large Language Models a Mirage?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T00:40:18.667668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 686cdb1a-2bfc-4293-ab3a-7662e4b17939 · inbound

Foundation Models for Astrophysics cites this paper.

Foundation Models for Astrophysics Are Emergent Abilities of Large Language Models a Mirage?

Reference 115

Resolution: unresolved; no resolver link, observed 2026-08-04T04:31:49.032077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.