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Paper Citation Record · LEDGER

Auxiliary task demands mask the capabilities of smaller language models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2404.02418.

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

pith.paper-citation-record.v1
2404.02418 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:01:28.014503Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T08:57:48.088229Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7c9ca19b-c9c3-4d50-b708-4b78a852e71d · inbound

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories cites this paper.

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Auxiliary task demands mask the capabilities of smaller language models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T17:01:28.014503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:01:28.014503Z digest=sha256:5447e3f7ec4c78853aa46796930e1f69a8927fc20939ba9af007a3b047fe589c

Observation 243aac18-e9b7-4429-92a4-baab3b8899e9 · inbound

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race cites this paper.

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race Auxiliary task demands mask the capabilities of smaller language models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T12:13:17.581753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:13:17.581753Z digest=sha256:e501964214a15c17f41b68dd6824cb5a4c3413116efb8512f8bd93e780f1ab71

Observation 2fb4c50c-402b-4136-be9a-458c7fd16e0a · inbound

On the Limits of Layer Pruning for Generative Reasoning in Large Language Models cites this paper.

On the Limits of Layer Pruning for Generative Reasoning in Large Language Models Auxiliary task demands mask the capabilities of smaller language models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:40:46.187842Z

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=2026-05-16T08:40:24.822863Z digest=sha256:77b1cbf0f39533817ebeeed6ca7d2559c70d57d8fe94f8f83b3440a4f19a640e

Observation d7b7c79b-8656-4fbb-809c-21f4d21979cf · inbound

Evaluating Pragmatic Reasoning in Large Language Models: Evidence from Scalar Diversity cites this paper.

Evaluating Pragmatic Reasoning in Large Language Models: Evidence from Scalar Diversity Auxiliary task demands mask the capabilities of smaller language models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:16:18.912325Z

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=2026-05-12T03:14:55.470072Z digest=sha256:09cefd238ee6324991d686a0f5d75cea42550257837111428f4991c7612c48c5

Observation 0f307030-88c2-4d3b-b486-e4ecaca2802c · inbound

Investigating Concept Alignment Using Implausible Category Members cites this paper.

Investigating Concept Alignment Using Implausible Category Members Auxiliary task demands mask the capabilities of smaller language models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:14:45.636958Z

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=2026-05-22T09:11:40.345156Z digest=sha256:a9acac046bad73e82837a45264837ff52148a5082916db7be82df42502acaac2

Observation cec00cfa-6538-43ff-812c-f878b97b9565 · inbound

LEVANTE-bench: Multi-Scale Comparison of VLMs to Children Using Cognitive Tasks (or, "Is Your VLM Smarter Than a 5th Grader?") cites this paper.

LEVANTE-bench: Multi-Scale Comparison of VLMs to Children Using Cognitive Tasks (or, "Is Your VLM Smarter Than a 5th Grader?") Auxiliary task demands mask the capabilities of smaller language models

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:46:46.440288Z

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=2026-06-28T06:39:08.246174Z digest=sha256:b9eb7816cd1d76311948dfa7836cdb1c3a152a42541d9bf84e1129f9bb50cf4d

Observation 1ede4755-494c-4b47-bfd7-ccfb87d92f7b · inbound

Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier cites this paper.

Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier Auxiliary task demands mask the capabilities of smaller language models

Reference 117

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T08:57:48.089539Z

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=2026-06-27T10:36:09.211639Z digest=sha256:60230c699621cefd6d903efa0c5f68c124eb7237977866ae1714692fbd9adf8f

Observation 351a3307-e15f-46f4-b2d1-7fcc4865cd70 · inbound

Theory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action cites this paper.

Theory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action Auxiliary task demands mask the capabilities of smaller language models

Reference 89

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:15:44.693412Z

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=2026-07-01T05:40:54.002702Z digest=sha256:d739b1e5f4036c033bcdcace104dcf5a775f9827f9a9199db5622b52fc222505