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Paper Citation Record · LEDGER

Explore Spurious Correlations at the Concept Level in Language Models for Text Classification

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2311.08648.

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

pith.paper-citation-record.v1
2311.08648 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:49:28.412404Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:32:46.993208Z

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 5fada9a1-8fd4-4eda-854d-45d8663a82c9 · inbound

Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment cites this paper.

Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment Explore Spurious Correlations at the Concept Level in Language Models for Text Classification

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-10T19:55:50.812045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:55:50.812045Z digest=sha256:2573f97b0d6bf319b451dda1138f5ea340f4be336d0e6ee40bc028b3906dff8b

Observation d3d28a48-ef66-406b-be3f-a93c8e64216e · inbound

MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs cites this paper.

MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs Explore Spurious Correlations at the Concept Level in Language Models for Text Classification

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-09T17:01:41.254175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:01:41.254175Z digest=sha256:0c4bac40a73b10adbbae161a9c1ea78df7ad7cbfda5fa06acf76e2cae588bca8

Observation fc9f8764-6ac0-471e-8b7e-452f48087440 · inbound

CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models cites this paper.

CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models Explore Spurious Correlations at the Concept Level in Language Models for Text Classification

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-05T12:32:14.104373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:32:14.104373Z digest=sha256:1ad0ebf5acdb2c4b9b62e0464ce721ecfaea33a7fca0ce24dee4c6ae1d64bf68

Observation 003f8e97-b7bf-474c-a2f9-98c932345522 · inbound

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration cites this paper.

Expert-guided Clinical Text Augmentation via Query-Based Model Collaboration Explore Spurious Correlations at the Concept Level in Language Models for Text Classification

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-15T15:49:28.412404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:49:28.412404Z digest=sha256:452e0b5a4cb541bcc9f8d34a065ef566f3b35d7c48df7f18ab832cb3f8c38f0e

Observation 9c2ca753-757b-483a-9164-99b9d28cb793 · inbound

The SuperActivator Mechanism: Transformers Concentrate Reliable Concept Signals in the Tail cites this paper.

The SuperActivator Mechanism: Transformers Concentrate Reliable Concept Signals in the Tail Explore Spurious Correlations at the Concept Level in Language Models for Text Classification

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-03T18:33:10.181499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:33:10.181499Z digest=sha256:994baad82401e5df2c5a94036da6154fd82d68d41cad7e093133684526d8da5a

Observation b16d9fa0-5ce7-4f5c-83a0-dc1ed9cfdf20 · inbound

Factored Causal Representation Learning for Robust Reward Modeling in RLHF cites this paper.

Factored Causal Representation Learning for Robust Reward Modeling in RLHF Explore Spurious Correlations at the Concept Level in Language Models for Text Classification

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-21T14:20:13.631761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T14:18:33.768962Z digest=sha256:7b813537ebd7159d6f250d6735f4511a7465d2ae1c95300d114501f832951818

Observation 53186769-68d1-47b0-85fb-c0f80ee62e76 · inbound

Shortcuts in the Tail: Debiasing via Post-Hoc Spectral Compression of Fine-Tuning Updates cites this paper.

Shortcuts in the Tail: Debiasing via Post-Hoc Spectral Compression of Fine-Tuning Updates Explore Spurious Correlations at the Concept Level in Language Models for Text Classification

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T23:32:46.994648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T23:30:21.543618Z digest=sha256:2d1d5c0dc06f460c2a84ce05f902dc194505c168a6df3e55579692f803281f4d